Added posttask

README.md

@@ -32,6 +32,10 @@ configs:
   data_files:
   - split: train
     path: task/pretask/processed_pretask.csv
+- config_name: posttask
+  data_files:
+  - split: train
+    path: task/posttask/processed_posttask.csv
 - config_name: pretask_questionnaire
   data_files:
   - split: train
@@ -93,6 +97,10 @@ qe4pe/
     │   ├── ...
     │   ├── processed_main.csv # Processed main task data, corresponds to the `main` configuration
     │   └── README.md # Details about the main task
+    ├── posttask/ # Posttask task data, logs, outputs and guidelines
+    │   ├── ...
+    │   ├── processed_main.csv # Processed posttask task data, corresponds to the `posttask` configuration
+    │   └── README.md # Details about the post-task
     └── pretask/ # Pretask data, logs, outputs and guidelines
         ├── ...
         ├── processed_pretask.csv # Processed pretask data, corresponds to the `pretask` configuration
@@ -220,7 +228,8 @@ A single entry in the dataframe represents a segment (~sentence) in the dataset,
 |`config`                             | `split`|                                                               |
 |------------------------------------:|-------:|--------------------------------------------------------------:|
 |`main`                               | `train`| 8100 (51 docs i.e. 324 sents x 25 translators)                |
-|`pretask`                            | `train`|  950 (6 docs i.e. 38 sents x 25 translators)                  |
+|`pretask`                            | `train`| 950 (6 docs i.e. 38 sents x 25 translators)                  |
+|`posttask`                           | `train`| 1200 (8 docs i.e. 50 sents x 24 translators)                |
 |`pretask_questionnaire`              | `train`| 26 (all translators, including replaced/replacements)         |
 |`posttask_highlight_questionnaire`   | `train`| 19 (all translators for highlight modalities + 1 replacement) |
 |`posttask_no_highlight_questionnaire`| `train`| 6 (all translators for `no_highlight` modality)               |

task/main/README.md

@@ -39,12 +39,14 @@ main/
 └── README.md
 ```
 
+## Important Notes about Data Issues
+
+The document `doc28` corresponding to the original WMT23 file `aaronsgiles.110351251990540992` was also erroneously included in the main task, but it was also used for the `pretask` and was hence excluded from the main analysis to account for preview effects of editing times. Segments 13-5, 17-4, 18-3, 51-4 (`doc_id`-`segment_in_doc_id` format) are provided in the data but were excluded from the final analysis due to issues with the interface that led to truncated translations being saved for most post-editors.
+
 ## Inputs
 
 The `main` task uses 50 documents containing between 6-10 contiguous sentences (tot. ) from the `wmt23` collection that were filtered ad-hoc to ensure sufficient but not perfect quality. Moreover, 15 critical errors were manually introduced in some translations across the two target languages before applying highlight modalities (more info in [manual_errors](../../setup/processed/manual_errors/)).
 
->The document `doc28` corresponding to the original WMT23 file `aaronsgiles.110351251990540992` was also erroneously included in the main task, but it was also used for the `pretask` and was hence excluded from the main analysis to account for preview effects of editing times.
-
 The four modalities of highlighting tested are `no_highlight`, `oracle`, `supervised` and `unsupervised`:
 
 - `no_highlight`: MT outputs requiring post-editing are presented without any highlighting.

task/posttask/README.md

@@ -0,0 +1,83 @@
+# QE4PE Post-task
+
+The goal of the `posttask` is to evaluate translators' editing speed and quality after they acquired proficiency with the GroTE interface on a fixed set of additional texts from the same distribution of `pretask` and `main`, using the `no_highlight` modality for all translators to estimate individual baseline speed. Refer to the [translators' guidelines](./posttask_guidelines.pdf) for additional details about the task.
+
+## Folder Structure
+
+```shell
+posttask/
+├── inputs/
+│   ├── eng-ita/
+│   │   ├── posttask_eng-ita_doc1_input.txt
+│   │   ├── posttask_eng-ita_doc2_input.txt
+│   │   └── ... # GroTE input files with tags and ||| source-target separator
+│   └── eng-nld/
+│   │   ├── posttask_eng-nld_doc1_input.txt
+│   │   ├── posttask_eng-nld_doc2_input.txt
+│   │   └── ... # GroTE input files with tags and ||| source-target separator
+├── outputs/
+│   ├── eng-ita/
+│   │   ├── logs/
+│   │   │   ├── posttask_eng-ita_oracle_t1_logs.csv 
+│   │   │   └── ... # GroTE logs for every translator (e.g. oracle_t1, uses main task IDs)
+│   │   ├── metrics/
+│   │   │   ├── posttask_eng-ita_oracle_t1_metrics.csv
+│   │   │   └── ... # Metrics for every translator (e.g. oracle_t1, uses main task IDs)
+│   │   ├── posttask_eng-ita_doc1_oracle_t1_output.txt
+│   │   └── ... # GroTE output files (one edited target per line)
+│   └── eng-nld/
+│       ├── logs/
+│       │   ├── posttask_eng-nld_oracle_t1_logs.csv 
+│       │   └── ... # GroTE logs for every translator (e.g. oracle_t1, uses main task IDs)
+│       ├── metrics/
+│       │   ├── posttask_eng-nld_oracle_t1_metrics.csv
+│       │   └── ... # Metrics for every translator (e.g. oracle_t1, uses main task IDs)
+│       ├── example_eng-nld_doc1_oracle_t1_output.txt
+│       └── ... # GroTE output files (one post-edited segment per line)
+├── doc_id_map.json # Source and doc name maps
+├── posttask_guidelines.pdf # Task guidelines for translators
+└── README.md
+```
+
+## Important Notes about Data Issues
+
+Translator `unsupervised_t1` for the `eng-ita` direction could not complete the `posttask`, and is hence not present in the data.
+
+## Inputs
+
+The `posttask` uses eight documents containing between 3-8 contiguous segments from the same `wmt23` collection of the `main` task that were matching all the `main` task requirements, but were not selected for the main collection. [doc_id_map.json](./doc_id_map.json) shows the document assignments from the original collection.
+Documents were edited in the `no_highlight` setting by all translators to provide a baseline for speed/quality measurements in the main task. Input files for the task have names using the format:
+
+```python
+"{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{DOC_ID}}_input.txt"
+```
+
+## Outputs
+
+Files in `outputs/eng-ita` and `outputs/eng-nld` contain post-edited outputs (one per line, matching inputs) using format:
+
+```python
+"{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{DOC_ID}}_{{TRANSLATOR_ID}}_output.txt"
+```
+
+> **Note**: `{{TRANSLATOR_ID}}` includes the `{{HIGHLIGHT_MODALITY}}` information matching the ID from the `main` task. Despite this, **all editing for `posttask` was performed in the `no_highlight` setting**.
+
+The contents of `outputs/{{TRANSLATION_DIRECTION}}/logs` can be used to analyze editing behavior at a granular scale. Each log file has format:
+
+```python
+"{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{TRANSLATOR_ID}}_logs.csv"
+```
+
+Refer to [GroTE](https://github.com/gsarti/grote) documentation for more information about the logs.
+
+The contents of `outputs/{{TRANSLATION_DIRECTION}}/metrics` contain aggregated metrics for each translator, with name format:
+
+```python
+"{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{TRANSLATOR_ID}}_metrics.csv"
+```
+
+Metrics include:
+
+1. max/min/mean/std of BLEU, chrF, TER and COMET scores computed between the MT or the PE texts and all (other, in case of PE) post-edited variants of the same segment for `{{TRANSLATION_DIRECTION}}`.
+
+2. XCOMET-XXL segment-level QE scores and errors for the MT and PE texts.

task/posttask/doc_id_map.json

@@ -0,0 +1,14 @@
+{
+    "source_path": "../../setup/processed/grote_files",
+    "original_config": "../../setup/wmt23/wmttest2023.eng.jsonl",
+    "map":{
+        "doc1": "AdrianRiskin.110351010944540000",
+        "doc2": "ashanti-development-working-with-farming-communities-in-ghana.110350775326024000",
+        "doc3": "doc9",
+        "doc4": "doc12",
+        "doc5": "nm-161",
+        "doc6": "nm-199",
+        "doc7": "nm-241",
+        "doc8": "nm-302"
+    }
+}

task/posttask/inputs/eng-ita/posttask_eng-ita_doc1_input.txt

@@ -0,0 +1,3 @@
+Suppose for the sake of argument that science at least in part consists of lists of objectively factual statements about the world, true apart from any theory they might support. Even if it's true that such facts exist in science it's still possible to argue that scientific facts are theory-laden. ||| Supponiamo per ragioni di argomentazione che la scienza almeno in parte consista di elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria che possano sostenere. Anche se è vero che tali fatti esistono nella scienza è ancora possibile sostenere che i fatti scientifici sono carichi di teorie.
+Scientific facts result from experiments. The experiments don't create the facts on this reading, but the choice of which experiments to conduct controls which facts are discovered. Some facts, e.g. about subatomic particles, can only result from experiments that are themselves only possible in capitalism because they require too much resources, too much organization, too much coercion, to pull off otherwise. ||| I fatti scientifici derivano dagli esperimenti. Gli esperimenti non creano i fatti in questa lettura, ma la scelta di quali esperimenti condurre controlli quali fatti vengono scoperti. Alcuni fatti, ad esempio sulle particelle subatomiche, possono solo derivare da esperimenti che sono essi stessi solo possibili nel capitalismo perché richiedono troppe risorse, troppa organizzazione, troppa coercizione, per tirare fuori altrimenti.
+This is a very brief sketch of a plausible argument that theories of capitalism influencing the actual content of science are consistent with theories asserting the existence of objective scientific facts. It's not an argument in favor of the existence of objective scientific facts, which I don't believe in. ||| Questo è uno schizzo molto breve di un argomento plausibile che le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc2_input.txt

@@ -0,0 +1,5 @@
+I really enjoyed catching up with Penny and Nicholas from Ashanti Development at the weekend for a chat about their progress. ||| Mi e' piaciuto molto incontrare Penny e Nicholas di Ashanti Development nel fine settimana per parlare dei loro progressi.
+Ashanti Development has been working with an ever-expanding number of communities in the Ashanti region of Ghana for approaching 20 years, engaging with communities and providing support with water and sanitation, education, healthcare, tree planting and farming. Communities gain the knowledge to embed and support their own development. ||| Ashanti Development ha lavorato con un numero sempre crescente di comunità nella regione Ashanti del Ghana per quasi 20 anni, impegnandosi con le comunità e fornendo supporto con acqua e servizi igienico-sanitari, istruzione, assistenza sanitaria, piantagione di alberi e agricoltura.
+I was fortunate enough to spend a memorable six months alongside Nicholas in 2011 supporting a range of projects. When we caught up at the weekend I was chuffed to hear about progress, particularly with tree planting and farm support. Thousands of trees have been established and farmers have seen increased crop yields through a range of interventions from support with equipment purchases to training. ||| Nel 2011 ho avuto la fortuna di trascorrere sei mesi memorabili a fianco di Nicholas sostenendo una serie di progetti. Quando ci siamo incontrati nel fine settimana, sono stato entusiasta di sapere dei progressi, in particolare con la piantagione di alberi e il sostegno alle aziende agricole. Sono stati piantati migliaia di alberi e gli agricoltori hanno visto aumentare i raccolti attraverso una serie di interventi, dal sostegno con l'acquisto di attrezzature alla formazione.
+Nicholas is working with farmers to reduce pesticide use while finding ways to address the issues caused by climate change and pests such as fall armyworm, which can devastate maize crops. ||| Nicholas sta lavorando con gli agricoltori per ridurre l'uso di pesticidi e allo stesso tempo trovare modi per affrontare i problemi causati dai cambiamenti climatici e dai parassiti come l'esercito di autunno, che può devastare le colture di mais.
+Photos from my visit to Ghana in 2011. ||| Foto della mia visita in Ghana nel 2011.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc3_input.txt

@@ -0,0 +1,8 @@
+Atrial fibrillation (AF) is the most frequent cardiac arrhythmia with an impact on morbidity and mortality found in the geriatric population. ||| La fibrillazione atriale (FA) è l' aritmia cardiaca più frequente con un impatto sulla morbilità e sulla mortalità riscontrata nella popolazione geriatrica.
+This retrospective study is the first to investigate the prevalence, treatment and comorbidities of AF in a large cohort of older adults. ||| Questo studio retrospettivo è il primo a studiare la prevalenza, il trattamento e le comorbilità della FA in una vasta coorte di anziani.
+Older adults with AF hospitalized between 2010 and 2018. ||| Adulti anziani con FA ricoverati tra il 2010 e il 2018.
+The mean age of the 10,700 AF patients in 2018 was 83.2 ± 6.4 years. ||| L' età media dei 10.700 pazienti con FA nel 2018 era di 83,2 ± 6,4 anni.
+The frequency of anticoagulation in older adults with AF between 2010 and 2018 was analyzed. ||| È stata analizzata la frequenza dell' anticoagulazione negli anziani con FA tra il 2010 e il 2018.
+The relationship between comorbidities and anticoagulation in 2018 was examined. ||| È stata esaminata la relazione tra comorbilità e anticoagulazione nel 2018.
+Logistic regression analysis was used to identify possible predictive factors for anticoagulation. ||| L' analisi di regressione logistica è stata utilizzata per identificare possibili fattori predittivi per l' anticoagulazione.
+The prevalence of AF in 35,887 hospitalized older adults was 29.8% in 2018. ||| La prevalenza di FA in 35.887 anziani ricoverati in ospedale è stata del 29,8% nel 2018.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc4_input.txt

@@ -0,0 +1,8 @@
+Risk factors for a first episode of primary uveitis in horses have not been determined. ||| I fattori di rischio per un primo episodio di uveite primaria nei cavalli non sono stati determinati.
+In addition, disease progression and the proportion of horses that develop recurrence following the original episode are not known. ||| Inoltre, la progressione della malattia e la percentuale di cavalli che presentano una recidiva dopo l' episodio iniziale non sono note.
+To determine the risk factors for the development of a first episode of primary uveitis in horses in the UK and to document the proportion of cases that experience recurrence following this first episode. ||| Determinare i fattori di rischio per lo sviluppo di un primo episodio di uveite primaria nei cavalli nel Regno Unito e documentare la percentuale di casi che subiscono una recidiva dopo questo primo episodio.
+Prospective case-control longitudinal study. ||| Prospettivo studio longitudinale caso-controllo.
+Horses with a first episode of primary uveitis between July 2014 and August 2018 were recruited to the study. ||| Sono stati arruolati nello studio cavalli con un primo episodio di uveite primaria tra luglio 2014 e agosto 2018.
+For each case, two controls were selected. ||| Per ciascun caso sono stati selezionati due gruppi di controllo.
+A questionnaire was completed for each horse and multivariable logistic regression analysis was carried out to identify associations between horse and management-level variables and the risk of uveitis. ||| Per ciascun cavallo è stato compilato un questionario ed è stata effettuata un'analisi di regressione logistica multivariabile per identificare le associazioni tra il cavallo e le variabili a livello di gestione e il rischio di uveite.
+Each case was then followed longitudinally to determine the rate of recurrence of uveitis. ||| Ogni caso è stato poi seguito longitudinalmente per determinare il tasso di recidiva dell' uveite.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc5_input.txt

@@ -0,0 +1,7 @@
+Hello I am new on here, but I don’t know if I am the butthole or entitled one this story. ||| Salve, sono nuovo qui, ma non so se sono il buco del culo o l'autore di questa storia.
+This is short, but I was expecting to get a tattoo for my 18th birthday like any 18-year-old, but I wanted to go to this one shop that my brother goes to. ||| E' breve, ma mi aspettavo di farmi un tatuaggio per il mio diciottesimo compleanno come ogni diciottenne, ma volevo andare in questo negozio che frequenta mio fratello.
+I sent a direct message to the artist I wanted, but nothing for 2 months. ||| Ho mandato un messaggio diretto all'artista che volevo, ma niente per due mesi.
+Like yeah, I understand they are booked for summer tattoos, but at least say “Hey I am booked for the rest of ____”. ||| Sì, ho capito che sono prenotati per i tatuaggi estivi, ma almeno di' "Ehi, sono prenotato per il resto del ____".
+But I was like “ok, well I am going to look at another artist’s work from this shop that does small tattoos.” ||| Ma ho pensato: "Ok, vado a vedere il lavoro di un altro artista di questo negozio che fa piccoli tatuaggi".
+Same thing happens: no answer. ||| Succede la stessa cosa: nessuna risposta.
+So me and my brother decide “ok, let’s go to the shop and ask, then we will at least get a answer”. ||| Così io e mio fratello decidiamo... Ok, andiamo al negozio e chiediamo, così almeno avremo una risposta.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc6_input.txt

@@ -0,0 +1,7 @@
+I didn’t think anything of it, so when I went to give the last cookies on the shelf to him, the entitled kid started screaming “Mommy, he stole my cookies!” ||| Non ci ho pensato, così quando sono andato a dargli gli ultimi biscotti sullo scaffale, il bambino ha iniziato a urlare: "Mamma, mi ha rubato i biscotti!"
+At first I was startled. ||| All'inizio fui sorpreso.
+I started to get nervous, and I froze. ||| Iniziai a innervosirmi e mi bloccai.
+Then entitled parent walks up and starts yelling “Give those cookies back to my daughter! Give them back!” ||| Poi il genitore autorizzato si avvicina e inizia a urlare "Ridammi quei biscotti a mia figlia!
+And I did not know what to say at first, but then something came to mind: just say “but I didn’t.” ||| E all'inizio non sapevo cosa dire, ma poi mi è venuto in mente qualcosa: basta dire "ma non l'ho fatto".
+But the way I said it was so cautious. ||| Ma il modo in cui l'ho detto e' stato cosi' cauto.
+Then my sister takes the cookies from my hands and handed them to my dad. ||| Poi mia sorella ha preso i biscotti dalle mie mani e li ha dati a mio padre.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc7_input.txt

@@ -0,0 +1,8 @@
+Here is an example of two paragraphs written in the alternate spelling system and then in regular spelling: ||| Ecco un esempio di due paragrafi scritti nel sistema ortografico alternativo e poi in ortografia regolare:
+The North Wind and the Sun were disputing which was the stronger, when a traveller came along wrapped in a warm cloak. ||| Il Vento del Nord e il Sole stavano discutendo su chi fosse il più forte, quando arrivò un viaggiatore avvolto in un mantello caldo.
+They agreed that the one who first succeeded in making the traveller take his cloak off should be considered stronger than the other. ||| Essi concordarono che colui che fosse riuscito per primo a far togliere il mantello al viaggiatore doveva essere considerato più forte dell'altro.
+Then the North Wind blew as hard as he could, but the more he blew the more closely did the traveller fold his cloak around him; and at last the North Wind gave up the attempt. ||| Poi il Vento del Nord soffiò il più forte che poteva, ma il più ha soffiato il più strettamente ha il viaggiatore piegare il mantello intorno a lui, e alla fine il Vento del Nord ha rinunciato al tentativo.
+Then the Sun shined out warmly, and immediately the traveller took off his cloak. ||| Poi il sole splendeva caldo, e immediatamente il viaggiatore si tolse il mantello.
+And so the North Wind was obliged to confer that the Sun was the stronger of the two. ||| E così il Vento del Nord fu costretto a conferire che il Sole era il più forte dei due.
+That quick beige fox jumped in the air over each thin dog under a calm autumn moon. ||| Quella veloce volpe beige saltò in aria sopra ogni magro cane sotto la calma luna d'autunno.
+Look out, I shout, for he’s foiled you yet again, creating chaos. ||| Attento, ti grido, perché ti ha sventato ancora una volta, creando il caos.

task/posttask/inputs/eng-ita/posttask_eng-ita_doc8_input.txt

@@ -0,0 +1,4 @@
+Hi guys, I’ve always had a lot of trouble making friends and consider myself kind of standoffish and awkward at times (that cancer rising, you know) but pretty chill once you get past that. ||| Salve ragazzi, ho sempre avuto un sacco di problemi a fare amicizia e mi considero un po' distante e imbarazzato a volte (che il cancro cresce, sapete) ma piuttosto tranquillo una volta superato questo.
+Super loyal and empathetic, pretty smart (when I want to be), goofy, a little chaotic, big overthinker kind of deal. ||| Super leale ed empatico, piuttosto intelligente (quando voglio esserlo), sciocco, un po' caotico, un tipo che pensa troppo.
+Enneagram type 4, because apparently that matters (just kidding!). ||| Enneagramma tipo 4, perché a quanto pare questo è importante (solo scherzo!).
+I’m honestly really looking for some truly kind, genuine people that might share some of my goals of breaking patterns and cycles, trying to be better, treating others with respect, dignity, and love... you get the gist :-) ||| Sono sinceramente alla ricerca di persone veramente gentili e genuine che possano condividere alcuni dei miei obiettivi di rompere gli schemi e i cicli, cercare di essere migliore, trattare gli altri con rispetto, dignità e amore... avete capito l'essenza :-)

task/posttask/inputs/eng-nld/posttask_eng-nld_doc1_input.txt

@@ -0,0 +1,3 @@
+Suppose for the sake of argument that science at least in part consists of lists of objectively factual statements about the world, true apart from any theory they might support. Even if it's true that such facts exist in science it's still possible to argue that scientific facts are theory-laden. ||| Stel dat de wetenschap tenminste gedeeltelijk bestaat uit objectief feitelijke uitspraken over de wereld, waar, ongeacht welke theorie ze kunnen ondersteunen. Zelfs als het waar is dat dergelijke feiten in de wetenschap bestaan, is het nog steeds mogelijk om te beweren dat wetenschappelijke feiten theorie-beladen zijn.
+Scientific facts result from experiments. The experiments don't create the facts on this reading, but the choice of which experiments to conduct controls which facts are discovered. Some facts, e.g. about subatomic particles, can only result from experiments that are themselves only possible in capitalism because they require too much resources, too much organization, too much coercion, to pull off otherwise. ||| Wetenschappelijke feiten zijn het resultaat van experimenten. De experimenten creëren niet de feiten op deze lezing, maar de keuze van welke experimenten om controles uit te voeren welke feiten worden ontdekt. Sommige feiten, bijvoorbeeld over subatomaire deeltjes, kunnen alleen het resultaat zijn van experimenten die zelf alleen mogelijk zijn in het kapitalisme omdat ze te veel middelen, te veel organisatie, te veel dwang vereisen, om het anders te doen.
+This is a very brief sketch of a plausible argument that theories of capitalism influencing the actual content of science are consistent with theories asserting the existence of objective scientific facts. It's notß an argument in favor of the existence of objective scientific facts, which I don't believe in. ||| Dit is een zeer korte schets van een aannemelijk argument dat de theorieën van het kapitalisme die de werkelijke inhoud van de wetenschap beïnvloeden, consistent zijn met theorieën die het bestaan van objectieve wetenschappelijke feiten beweren.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc2_input.txt

@@ -0,0 +1,5 @@
+I really enjoyed catching up with Penny and Nicholas from Ashanti Development at the weekend for a chat about their progress. ||| Ik heb echt genoten van het gesprek met Penny en Nicholas van Ashanti Ontwikkeling in het weekend voor een praatje over hun vooruitgang.
+Ashanti Development has been working with an ever-expanding number of communities in the Ashanti region of Ghana for approaching 20 years, engaging with communities and providing support with water and sanitation, education, healthcare, tree planting and farming. Communities gain the knowledge to embed and support their own development. ||| Ashanti Development werkt al bijna 20 jaar samen met een steeds groter wordend aantal gemeenschappen in de Ashanti-regio van Ghana, waarbij het zich bezighoudt met gemeenschappen en ondersteuning biedt met water en sanitaire voorzieningen, onderwijs, gezondheidszorg, het planten van bomen en landbouw.
+I was fortunate enough to spend a memorable six months alongside Nicholas in 2011 supporting a range of projects. When we caught up at the weekend I was chuffed to hear about progress, particularly with tree planting and farm support. Thousands of trees have been established and farmers have seen increased crop yields through a range of interventions from support with equipment purchases to training. ||| Ik had het geluk om in 2011 een gedenkwaardige periode van zes maanden naast Nicholas door te brengen om een reeks projecten te ondersteunen. Toen we het weekend bij elkaar kwamen, was ik verheugd om te horen over de vooruitgang, met name met het planten van bomen en het ondersteunen van boerderijen. Duizenden bomen zijn geplant en boeren hebben een verhoogde oogst gezien door een reeks interventies, van ondersteuning met de aankoop van apparatuur tot training.
+Nicholas is working with farmers to reduce pesticide use while finding ways to address the issues caused by climate change and pests such as fall armyworm, which can devastate maize crops. ||| Nicholas werkt samen met boeren om het gebruik van pesticiden te verminderen en tegelijkertijd manieren te vinden om de problemen aan te pakken die worden veroorzaakt door klimaatverandering en plagen zoals de herfstworm, die maïsgewassen kunnen verwoesten.
+Photos from my visit to Ghana in 2011. ||| Foto's van mijn bezoek aan Ghana in 2011.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc3_input.txt

@@ -0,0 +1,8 @@
+Atrial fibrillation (AF) is the most frequent cardiac arrhythmia with an impact on morbidity and mortality found in the geriatric population. ||| Atriale fibrillatie (AF) is de meest voorkomende hartritmestoornis met een impact op de morbiditeit en mortaliteit bij de geriatrische populatie.
+This retrospective study is the first to investigate the prevalence, treatment and comorbidities of AF in a large cohort of older adults. ||| Deze retrospectieve studie is de eerste die de prevalentie, behandeling en comorbiditeiten van AF onderzoekt bij een groot cohort oudere volwassenen.
+Older adults with AF hospitalized between 2010 and 2018. ||| Oudere volwassenen met FA die tussen 2010 en 2018 zijn opgenomen in het ziekenhuis.
+The mean age of the 10,700 AF patients in 2018 was 83.2 ± 6.4 years. ||| De gemiddelde leeftijd van de 10.700 FA-patiënten in 2018 was 83,2 ± 6,4 jaar.
+The frequency of anticoagulation in older adults with AF between 2010 and 2018 was analyzed. ||| De frequentie van anticoagulatie bij oudere volwassenen met FA tussen 2010 en 2018 werd geanalyseerd.
+The relationship between comorbidities and anticoagulation in 2018 was examined. ||| De relatie tussen comorbiditeiten en anticoagulatie in 2018 werd onderzocht.
+Logistic regression analysis was used to identify possible predictive factors for anticoagulation. ||| Logistische regressie-analyse werd gebruikt om mogelijke voorspellende factoren voor anticoagulatie te identificeren.
+The prevalence of AF in 35,887 hospitalized older adults was 29.8% in 2018. ||| De prevalentie van AF bij 35.887 opgenomen oudere volwassenen was 29,8% in 2018.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc4_input.txt

@@ -0,0 +1,8 @@
+Risk factors for a first episode of primary uveitis in horses have not been determined. ||| Risicofactoren voor een eerste episode van primaire uveïtis bij paarden zijn niet vastgesteld.
+In addition, disease progression and the proportion of horses that develop recurrence following the original episode are not known. ||| Bovendien is de progressie van de ziekte en het aandeel paarden dat na de oorspronkelijke episode een recidief ontwikkelt, niet bekend.
+To determine the risk factors for the development of a first episode of primary uveitis in horses in the UK and to document the proportion of cases that experience recurrence following this first episode. ||| Het bepalen van de risicofactoren voor de ontwikkeling van een eerste episode van primaire uveïtis bij paarden in het Verenigd Koninkrijk en het vastleggen van het aandeel van de gevallen die na deze eerste episode opnieuw optreden.
+Prospective case-control longitudinal study. ||| Prospectief case-control longitudinaal onderzoek.
+Horses with a first episode of primary uveitis between July 2014 and August 2018 were recruited to the study. ||| Voor het onderzoek werden paarden gerekruteerd met een eerste episode van primaire uveïtis tussen juli 2014 en augustus 2018.
+For each case, two controls were selected. ||| Voor elk geval werden twee controles geselecteerd.
+A questionnaire was completed for each horse and multivariable logistic regression analysis was carried out to identify associations between horse and management-level variables and the risk of uveitis. ||| Voor elk paard werd een vragenlijst ingevuld en een multivariabele logistieke regressie-analyse uitgevoerd om associaties tussen paarden en variabelen op het niveau van het management en het risico op uveïtis te identificeren.
+Each case was then followed longitudinally to determine the rate of recurrence of uveitis. ||| Elk geval werd vervolgens longitudineel gevolgd om de frequentie van herhaling van uveïtis te bepalen.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc5_input.txt

@@ -0,0 +1,7 @@
+Hello I am new on here, but I don’t know if I am the butthole or entitled one this story. ||| Hallo, ik ben nieuw hier, maar ik weet niet of ik het kontgat ben of de rechthebbende van dit verhaal.
+This is short, but I was expecting to get a tattoo for my 18th birthday like any 18-year-old, but I wanted to go to this one shop that my brother goes to. ||| Dit is kort, maar ik verwachtte een tatoeage te krijgen voor mijn 18e verjaardag zoals elke 18-jarige, maar ik wilde naar deze winkel gaan waar mijn broer naartoe gaat.
+I sent a direct message to the artist I wanted, but nothing for 2 months. ||| Ik stuurde een direct bericht naar de kunstenaar die ik wilde, maar twee maanden lang niets.
+Like yeah, I understand they are booked for summer tattoos, but at least say “Hey I am booked for the rest of ____”. ||| Zoals ja, ik begrijp dat ze zijn geboekt voor de zomer tatoeages, maar tenminste zeggen "Hey ik ben geboekt voor de rest van ____"
+But I was like “ok, well I am going to look at another artist’s work from this shop that does small tattoos.” ||| Maar ik dacht: "Oké, ik ga het werk van een andere kunstenaar bekijken van deze winkel die kleine tatoeages maakt".
+Same thing happens: no answer. ||| Hetzelfde gebeurt: geen antwoord.
+So me and my brother decide “ok, let’s go to the shop and ask, then we will at least get a answer”. ||| Dus mijn broer en ik besloten... Laten we naar de winkel gaan en vragen, dan krijgen we tenminste een antwoord.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc6_input.txt

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+I didn’t think anything of it, so when I went to give the last cookies on the shelf to him, the entitled kid started screaming “Mommy, he stole my cookies!” ||| Ik dacht er niets van, dus toen ik hem de laatste koekjes op de plank ging geven, begon het kind met het recht te schreeuwen: "Mama, hij heeft mijn koekjes gestolen!"
+At first I was startled. ||| Eerst schrok ik.
+I started to get nervous, and I froze. ||| Ik werd nerveus en bevroren.
+Then entitled parent walks up and starts yelling “Give those cookies back to my daughter! Give them back!” ||| Dan komt de rechthebbende ouder en begint te schreeuwen: "Geef die koekjes terug aan mijn dochter! Geef ze terug!"
+And I did not know what to say at first, but then something came to mind: just say “but I didn’t.” ||| En ik wist eerst niet wat ik moest zeggen, maar toen kwam er iets in me op: zeg gewoon "maar ik deed het niet".
+But the way I said it was so cautious. ||| Maar de manier waarop ik het zei was zo voorzichtig.
+Then my sister takes the cookies from my hands and handed them to my dad. ||| Toen nam mijn zus de koekjes uit mijn handen en gaf ze aan mijn vader.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc7_input.txt

@@ -0,0 +1,8 @@
+Here is an example of two paragraphs written in the alternate spelling system and then in regular spelling: ||| Hier is een voorbeeld van twee alinea's geschreven in het alternatieve spellingstelsel en vervolgens in de reguliere spelling:
+The North Wind and the Sun were disputing which was the stronger, when a traveller came along wrapped in a warm cloak. ||| De noordenwind en de zon betwistten wie sterker was, toen een reiziger langs kwam gewikkeld in een warme mantel.
+They agreed that the one who first succeeded in making the traveller take his cloak off should be considered stronger than the other. ||| Zij waren het erover eens dat degene die als eerste erin slaagde de reiziger zijn mantel uit te laten trekken, sterker moest worden geacht dan de ander.
+Then the North Wind blew as hard as he could, but the more he blew the more closely did the traveller fold his cloak around him; and at last the North Wind gave up the attempt. ||| Toen de Noordwind blies zo hard als hij kon, maar hoe meer hij blies de meer nauw deed de reiziger vouwde zijn mantel om hem heen, en ten slotte de Noordwind gaf de poging.
+Then the Sun shined out warmly, and immediately the traveller took off his cloak. ||| Toen scheen de zon warm, en onmiddellijk trok de reiziger zijn mantel uit.
+And so the North Wind was obliged to confer that the Sun was the stronger of the two. ||| En dus was de Noordwind verplicht om te bevestigen dat de Zon de sterkste van de twee was.
+That quick beige fox jumped in the air over each thin dog under a calm autumn moon. ||| Die snelle beige vos sprong in de lucht over elke magere hond onder een kalme herfstmaan.
+Look out, I shout, for he’s foiled you yet again, creating chaos. ||| Kijk uit, schreeuw ik, want hij heeft je weer verneukt, door chaos te creëren.

task/posttask/inputs/eng-nld/posttask_eng-nld_doc8_input.txt

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+Hi guys, I’ve always had a lot of trouble making friends and consider myself kind of standoffish and awkward at times (that cancer rising, you know) but pretty chill once you get past that. ||| Hallo jongens, ik heb altijd veel moeite gehad om vrienden te maken en ik beschouw mezelf soms als een beetje afstandelijk en ongemakkelijk (die kanker stijgt, weet je) maar vrij koel als je daar eenmaal overheen bent.
+Super loyal and empathetic, pretty smart (when I want to be), goofy, a little chaotic, big overthinker kind of deal. ||| Super loyaal en empathisch, behoorlijk slim (als ik dat wil zijn), dom, een beetje chaotisch, een grote overdenker soort deal.
+Enneagram type 4, because apparently that matters (just kidding!). ||| Enneagram type 4, want blijkbaar is dat belangrijk (grapje!).
+I’m honestly really looking for some truly kind, genuine people that might share some of my goals of breaking patterns and cycles, trying to be better, treating others with respect, dignity, and love... you get the gist :-) ||| Ik ben eerlijk gezegd op zoek naar echt aardige, oprechte mensen die een aantal van mijn doelen delen, zoals het doorbreken van patronen en cycli, proberen beter te zijn, anderen met respect, waardigheid en liefde behandelen... je begrijpt de kern van het verhaal :-)

task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_no_highlight_t1_metrics.json

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+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "doveva",
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+                    "end": 105
+                }
+            ]
+        },
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+                    "start": 6,
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+                },
+                {
+                    "text": "\u00f2",
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+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
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+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
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+                    "end": 121
+                },
+                {
+                    "text": "Vento",
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+                },
+                {
+                    "text": "Nord",
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+            ],
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+            "xcomet_pe": 0.983,
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+                {
+                    "text": "sole splendeva caldo",
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+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": [
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+                    "text": "con calore",
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+                }
+            ]
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+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 3.049,
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+            "pe_comet_max": 0.928,
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+            "xcomet_mt": 0.86,
+            "xcomet_pe": 0.86,
+            "xcomet_mt_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
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+                    "end": 81
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "ogni magro cane",
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+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
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+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ]
+        },
+        "8": {
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+            "xcomet_mt": 0.765,
+            "xcomet_pe": 0.639,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Attento, ti grido",
+                    "confidence": 0.75,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 17
+                },
+                {
+                    "text": "perch\u00e9 ti ha sventato",
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+                    "severity": "major",
+                    "start": 18,
+                    "end": 40
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "\"",
+                    "confidence": 0.355,
+                    "severity": "critical",
+                    "start": 0,
+                    "end": 1
+                },
+                {
+                    "text": "Ti",
+                    "confidence": 0.346,
+                    "severity": "major",
+                    "start": 19,
+                    "end": 21
+                },
+                {
+                    "text": "beffato",
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+                    "end": 32
+                }
+            ]
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+    },
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+            "xcomet_mt": 0.731,
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+            "xcomet_mt_errors": [
+                {
+                    "text": "(che il cancro cresce, sapete)",
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+                    "severity": "major",
+                    "start": 120,
+                    "end": 151
+                },
+                {
+                    "text": "tranquillo",
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+                    "start": 164,
+                    "end": 175
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "impacciato",
+                    "confidence": 0.831,
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+                    "start": 100,
+                    "end": 111
+                },
+                {
+                    "text": ", il cancro cresce",
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+                },
+                {
+                    "text": "tranquillo",
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+                    "end": 170
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+            "xcomet_mt": 0.945,
+            "xcomet_pe": 0.937,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sciocco",
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+                    "severity": "minor",
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+                    "text": "Super",
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+                    "start": 0,
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+                },
+                {
+                    "text": "voglio",
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+                },
+                {
+                    "text": ",",
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+                }
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+        },
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+            "xcomet_pe_errors": [
+                {
+                    "text": "dai",
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+                },
+                {
+                    "text": "scherzo",
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+            ]
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+            "mt_chrf_max": 100.0,
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+            "mt_ter_max": 42.857,
+            "mt_ter_min": 0.0,
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+            "mt_ter_std": 10.792,
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+            "pe_bleu_max": 76.244,
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+            "pe_chrf_std": 5.285,
+            "pe_ter_max": 37.143,
+            "pe_ter_min": 17.5,
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+            "pe_ter_std": 6.516,
+            "pe_comet_max": 0.939,
+            "pe_comet_min": 0.907,
+            "pe_comet_mean": 0.925,
+            "pe_comet_std": 0.01,
+            "xcomet_mt": 0.953,
+            "xcomet_pe": 0.891,
+            "xcomet_mt_errors": [
+                {
+                    "text": "obiettivi di",
+                    "confidence": 0.609,
+                    "severity": "minor",
+                    "start": 109,
+                    "end": 122
+                },
+                {
+                    "text": "avete capito l'essenza",
+                    "confidence": 0.585,
+                    "severity": "minor",
+                    "start": 232,
+                    "end": 255
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "hai capito il senso",
+                    "confidence": 0.881,
+                    "severity": "major",
+                    "start": 224,
+                    "end": 244
+                }
+            ]
+        }
+    }
+}

task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_no_highlight_t2_metrics.json

@@ -0,0 +1,2848 @@
+{
+    "1": {
+        "1": {
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+            "mt_bleu_mean": 70.325,
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+            "mt_chrf_min": 61.904,
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+            "mt_chrf_std": 11.581,
+            "mt_ter_max": 43.396,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 20.055,
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+            "mt_comet_mean": 0.868,
+            "mt_comet_std": 0.034,
+            "pe_bleu_max": 59.988,
+            "pe_bleu_min": 27.562,
+            "pe_bleu_mean": 46.686,
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+}

task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_oracle_t1_metrics.json

@@ -0,0 +1,2879 @@
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+            "mt_bleu_std": 8.813,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 86.06,
+            "mt_chrf_mean": 94.896,
+            "mt_chrf_std": 5.305,
+            "mt_ter_max": 17.391,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 5.314,
+            "mt_ter_std": 5.695,
+            "mt_comet_max": 0.944,
+            "mt_comet_min": 0.906,
+            "mt_comet_mean": 0.932,
+            "mt_comet_std": 0.014,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 75.451,
+            "pe_bleu_mean": 90.878,
+            "pe_bleu_std": 8.824,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 86.06,
+            "pe_chrf_mean": 94.386,
+            "pe_chrf_std": 5.3,
+            "pe_ter_max": 17.391,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 5.846,
+            "pe_ter_std": 5.707,
+            "pe_comet_max": 0.944,
+            "pe_comet_min": 0.906,
+            "pe_comet_mean": 0.931,
+            "pe_comet_std": 0.014,
+            "xcomet_mt": 0.961,
+            "xcomet_pe": 0.961,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Sole",
+                    "confidence": 0.508,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
+                    "confidence": 0.875,
+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Sole",
+                    "confidence": 0.51,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
+                    "confidence": 0.875,
+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ]
+        },
+        "3": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 15.228,
+            "mt_bleu_mean": 75.028,
+            "mt_bleu_std": 27.815,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 65.938,
+            "mt_chrf_mean": 88.379,
+            "mt_chrf_std": 13.288,
+            "mt_ter_max": 52.174,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 18.149,
+            "mt_ter_std": 19.196,
+            "mt_comet_max": 0.963,
+            "mt_comet_min": 0.894,
+            "mt_comet_mean": 0.939,
+            "mt_comet_std": 0.026,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 15.228,
+            "pe_bleu_mean": 72.531,
+            "pe_bleu_std": 27.972,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 65.938,
+            "pe_chrf_mean": 87.217,
+            "pe_chrf_std": 13.393,
+            "pe_ter_max": 52.174,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 19.964,
+            "pe_ter_std": 19.212,
+            "pe_comet_max": 0.963,
+            "pe_comet_min": 0.894,
+            "pe_comet_mean": 0.936,
+            "pe_comet_std": 0.026,
+            "xcomet_mt": 0.985,
+            "xcomet_pe": 0.985,
+            "xcomet_mt_errors": [
+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ]
+        },
+        "4": {
+            "mt_bleu_max": 54.296,
+            "mt_bleu_min": 15.814,
+            "mt_bleu_mean": 38.127,
+            "mt_bleu_std": 12.308,
+            "mt_chrf_max": 75.964,
+            "mt_chrf_min": 53.014,
+            "mt_chrf_mean": 65.892,
+            "mt_chrf_std": 7.331,
+            "mt_ter_max": 96.154,
+            "mt_ter_min": 30.556,
+            "mt_ter_mean": 56.059,
+            "mt_ter_std": 20.502,
+            "mt_comet_max": 0.722,
+            "mt_comet_min": 0.591,
+            "mt_comet_mean": 0.653,
+            "mt_comet_std": 0.031,
+            "pe_bleu_max": 60.926,
+            "pe_bleu_min": 17.841,
+            "pe_bleu_mean": 42.44,
+            "pe_bleu_std": 11.922,
+            "pe_chrf_max": 80.283,
+            "pe_chrf_min": 52.803,
+            "pe_chrf_mean": 70.089,
+            "pe_chrf_std": 7.696,
+            "pe_ter_max": 76.923,
+            "pe_ter_min": 25.0,
+            "pe_ter_mean": 46.415,
+            "pe_ter_std": 17.331,
+            "pe_comet_max": 0.806,
+            "pe_comet_min": 0.708,
+            "pe_comet_mean": 0.776,
+            "pe_comet_std": 0.029,
+            "xcomet_mt": 0.576,
+            "xcomet_pe": 0.893,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Vento",
+                    "confidence": 0.699,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.416,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
+                    "confidence": 0.689,
+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
+                    "confidence": 0.537,
+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.548,
+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.615,
+                    "severity": "minor",
+                    "start": 173,
+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Vento",
+                    "confidence": 0.679,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.549,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "pi\u00f9 forte so",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 53,
+                    "end": 66
+                },
+                {
+                    "text": "pi\u00f9 stretto",
+                    "confidence": 0.751,
+                    "severity": "minor",
+                    "start": 72,
+                    "end": 84
+                },
+                {
+                    "text": "ten",
+                    "confidence": 0.744,
+                    "severity": "minor",
+                    "start": 102,
+                    "end": 106
+                },
+                {
+                    "text": "il Vento",
+                    "confidence": 0.789,
+                    "severity": "minor",
+                    "start": 147,
+                    "end": 156
+                },
+                {
+                    "text": "Nord ha rinuncia",
+                    "confidence": 0.828,
+                    "severity": "minor",
+                    "start": 160,
+                    "end": 177
+                }
+            ]
+        },
+        "5": {
+            "mt_bleu_max": 82.424,
+            "mt_bleu_min": 11.722,
+            "mt_bleu_mean": 49.845,
+            "mt_bleu_std": 19.061,
+            "mt_chrf_max": 94.747,
+            "mt_chrf_min": 41.388,
+            "mt_chrf_mean": 66.357,
+            "mt_chrf_std": 13.352,
+            "mt_ter_max": 61.905,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 33.44,
+            "mt_ter_std": 15.189,
+            "mt_comet_max": 0.958,
+            "mt_comet_min": 0.843,
+            "mt_comet_mean": 0.901,
+            "mt_comet_std": 0.03,
+            "pe_bleu_max": 16.015,
+            "pe_bleu_min": 11.619,
+            "pe_bleu_mean": 13.566,
+            "pe_bleu_std": 1.456,
+            "pe_chrf_max": 60.004,
+            "pe_chrf_min": 41.133,
+            "pe_chrf_mean": 50.633,
+            "pe_chrf_std": 6.367,
+            "pe_ter_max": 100.0,
+            "pe_ter_min": 70.588,
+            "pe_ter_mean": 87.33,
+            "pe_ter_std": 10.331,
+            "pe_comet_max": 0.902,
+            "pe_comet_min": 0.878,
+            "pe_comet_mean": 0.888,
+            "pe_comet_std": 0.008,
+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.998,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": null
+        },
+        "6": {
+            "mt_bleu_max": 85.789,
+            "mt_bleu_min": 33.924,
+            "mt_bleu_mean": 64.052,
+            "mt_bleu_std": 17.289,
+            "mt_chrf_max": 86.244,
+            "mt_chrf_min": 54.18,
+            "mt_chrf_mean": 75.674,
+            "mt_chrf_std": 10.636,
+            "mt_ter_max": 78.571,
+            "mt_ter_min": 5.263,
+            "mt_ter_mean": 25.957,
+            "mt_ter_std": 21.651,
+            "mt_comet_max": 0.855,
+            "mt_comet_min": 0.768,
+            "mt_comet_mean": 0.831,
+            "mt_comet_std": 0.031,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 26.608,
+            "pe_bleu_mean": 62.019,
+            "pe_bleu_std": 20.852,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 51.776,
+            "pe_chrf_mean": 77.347,
+            "pe_chrf_std": 14.327,
+            "pe_ter_max": 92.857,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 30.815,
+            "pe_ter_std": 25.465,
+            "pe_comet_max": 0.967,
+            "pe_comet_min": 0.882,
+            "pe_comet_mean": 0.929,
+            "pe_comet_std": 0.027,
+            "xcomet_mt": 0.998,
+            "xcomet_pe": 1.0,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": null
+        },
+        "7": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 3.049,
+            "mt_bleu_mean": 48.439,
+            "mt_bleu_std": 32.388,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 26.009,
+            "mt_chrf_mean": 69.03,
+            "mt_chrf_std": 23.51,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 33.271,
+            "mt_ter_std": 26.242,
+            "mt_comet_max": 0.928,
+            "mt_comet_min": 0.606,
+            "mt_comet_mean": 0.821,
+            "mt_comet_std": 0.09,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 3.049,
+            "pe_bleu_mean": 43.282,
+            "pe_bleu_std": 29.35,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 26.009,
+            "pe_chrf_mean": 65.933,
+            "pe_chrf_std": 22.416,
+            "pe_ter_max": 87.5,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 36.598,
+            "pe_ter_std": 25.214,
+            "pe_comet_max": 0.928,
+            "pe_comet_min": 0.606,
+            "pe_comet_mean": 0.81,
+            "pe_comet_std": 0.088,
+            "xcomet_mt": 0.86,
+            "xcomet_pe": 0.86,
+            "xcomet_mt_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ]
+        },
+        "8": {
+            "mt_bleu_max": 88.171,
+            "mt_bleu_min": 8.001,
+            "mt_bleu_mean": 50.844,
+            "mt_bleu_std": 26.076,
+            "mt_chrf_max": 84.659,
+            "mt_chrf_min": 28.32,
+            "mt_chrf_mean": 67.155,
+            "mt_chrf_std": 18.156,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 14.286,
+            "mt_ter_mean": 38.609,
+            "mt_ter_std": 24.738,
+            "mt_comet_max": 0.923,
+            "mt_comet_min": 0.639,
+            "mt_comet_mean": 0.79,
+            "mt_comet_std": 0.096,
+            "pe_bleu_max": 71.604,
+            "pe_bleu_min": 8.048,
+            "pe_bleu_mean": 47.047,
+            "pe_bleu_std": 24.404,
+            "pe_chrf_max": 82.775,
+            "pe_chrf_min": 27.393,
+            "pe_chrf_mean": 62.984,
+            "pe_chrf_std": 18.024,
+            "pe_ter_max": 81.25,
+            "pe_ter_min": 23.077,
+            "pe_ter_mean": 48.792,
+            "pe_ter_std": 21.511,
+            "pe_comet_max": 0.851,
+            "pe_comet_min": 0.643,
+            "pe_comet_mean": 0.753,
+            "pe_comet_std": 0.068,
+            "xcomet_mt": 0.765,
+            "xcomet_pe": 0.866,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Attento, ti grido",
+                    "confidence": 0.75,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 17
+                },
+                {
+                    "text": "perch\u00e9 ti ha sventato",
+                    "confidence": 0.677,
+                    "severity": "major",
+                    "start": 18,
+                    "end": 40
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Attento",
+                    "confidence": 0.436,
+                    "severity": "minor",
+                    "start": 0,
+                    "end": 7
+                },
+                {
+                    "text": "grido",
+                    "confidence": 0.561,
+                    "severity": "minor",
+                    "start": 8,
+                    "end": 14
+                },
+                {
+                    "text": "ti",
+                    "confidence": 0.569,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 25
+                },
+                {
+                    "text": "preso",
+                    "confidence": 0.635,
+                    "severity": "minor",
+                    "start": 28,
+                    "end": 34
+                }
+            ]
+        }
+    },
+    "8": {
+        "1": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 31.888,
+            "mt_bleu_mean": 54.932,
+            "mt_bleu_std": 19.451,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 46.644,
+            "mt_chrf_mean": 69.5,
+            "mt_chrf_std": 14.883,
+            "mt_ter_max": 60.606,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 37.357,
+            "mt_ter_std": 18.505,
+            "mt_comet_max": 0.918,
+            "mt_comet_min": 0.727,
+            "mt_comet_mean": 0.803,
+            "mt_comet_std": 0.052,
+            "pe_bleu_max": 59.72,
+            "pe_bleu_min": 18.863,
+            "pe_bleu_mean": 43.449,
+            "pe_bleu_std": 11.298,
+            "pe_chrf_max": 78.166,
+            "pe_chrf_min": 51.014,
+            "pe_chrf_mean": 65.641,
+            "pe_chrf_std": 8.193,
+            "pe_ter_max": 66.667,
+            "pe_ter_min": 37.143,
+            "pe_ter_mean": 51.159,
+            "pe_ter_std": 10.275,
+            "pe_comet_max": 0.854,
+            "pe_comet_min": 0.791,
+            "pe_comet_mean": 0.827,
+            "pe_comet_std": 0.019,
+            "xcomet_mt": 0.731,
+            "xcomet_pe": 0.938,
+            "xcomet_mt_errors": [
+                {
+                    "text": "(che il cancro cresce, sapete)",
+                    "confidence": 0.718,
+                    "severity": "major",
+                    "start": 120,
+                    "end": 151
+                },
+                {
+                    "text": "tranquillo",
+                    "confidence": 0.702,
+                    "severity": "major",
+                    "start": 164,
+                    "end": 175
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "cancro",
+                    "confidence": 0.768,
+                    "severity": "minor",
+                    "start": 140,
+                    "end": 147
+                }
+            ]
+        },
+        "2": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 32.274,
+            "mt_bleu_mean": 65.961,
+            "mt_bleu_std": 25.098,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 51.875,
+            "mt_chrf_mean": 78.44,
+            "mt_chrf_std": 15.741,
+            "mt_ter_max": 66.667,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 27.951,
+            "mt_ter_std": 21.549,
+            "mt_comet_max": 0.955,
+            "mt_comet_min": 0.825,
+            "mt_comet_mean": 0.891,
+            "mt_comet_std": 0.043,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 32.274,
+            "pe_bleu_mean": 62.557,
+            "pe_bleu_std": 23.78,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 51.875,
+            "pe_chrf_mean": 76.284,
+            "pe_chrf_std": 14.88,
+            "pe_ter_max": 66.667,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 30.746,
+            "pe_ter_std": 20.612,
+            "pe_comet_max": 0.955,
+            "pe_comet_min": 0.825,
+            "pe_comet_mean": 0.884,
+            "pe_comet_std": 0.04,
+            "xcomet_mt": 0.945,
+            "xcomet_pe": 0.945,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sciocco",
+                    "confidence": 0.499,
+                    "severity": "minor",
+                    "start": 72,
+                    "end": 80
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "sciocco",
+                    "confidence": 0.499,
+                    "severity": "minor",
+                    "start": 72,
+                    "end": 80
+                }
+            ]
+        },
+        "3": {
+            "mt_bleu_max": 82.825,
+            "mt_bleu_min": 28.634,
+            "mt_bleu_mean": 59.61,
+            "mt_bleu_std": 13.046,
+            "mt_chrf_max": 90.828,
+            "mt_chrf_min": 67.066,
+            "mt_chrf_mean": 79.641,
+            "mt_chrf_std": 7.28,
+            "mt_ter_max": 66.667,
+            "mt_ter_min": 8.333,
+            "mt_ter_mean": 35.943,
+            "mt_ter_std": 14.009,
+            "mt_comet_max": 0.944,
+            "mt_comet_min": 0.799,
+            "mt_comet_mean": 0.908,
+            "mt_comet_std": 0.046,
+            "pe_bleu_max": 57.817,
+            "pe_bleu_min": 16.68,
+            "pe_bleu_mean": 45.08,
+            "pe_bleu_std": 10.725,
+            "pe_chrf_max": 72.278,
+            "pe_chrf_min": 50.215,
+            "pe_chrf_mean": 64.293,
+            "pe_chrf_std": 6.003,
+            "pe_ter_max": 100.0,
+            "pe_ter_min": 38.462,
+            "pe_ter_mean": 57.369,
+            "pe_ter_std": 16.884,
+            "pe_comet_max": 0.919,
+            "pe_comet_min": 0.79,
+            "pe_comet_mean": 0.884,
+            "pe_comet_std": 0.045,
+            "xcomet_mt": 0.999,
+            "xcomet_pe": 1.0,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": null
+        },
+        "4": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 46.263,
+            "mt_bleu_mean": 67.079,
+            "mt_bleu_std": 13.929,
+            "mt_chrf_max": 100.0,
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task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_oracle_t2_metrics.json

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+                    "text": "mi",
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+                    "text": "autorizzato",
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+                    "start": 15,
+                    "end": 27
+                },
+                {
+                    "text": "\"Ridammi",
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+                    "start": 57,
+                    "end": 66
+                },
+                {
+                    "text": "a",
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+                }
+            ],
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+                {
+                    "text": "\"",
+                    "confidence": 0.548,
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+                },
+                {
+                    "text": "\".",
+                    "confidence": 0.524,
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+                }
+            ],
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+                    "text": "All'inizio",
+                    "confidence": 0.474,
+                    "severity": "critical",
+                    "start": 0,
+                    "end": 10
+                },
+                {
+                    "text": "ho realizzato: digli che non hai rubato niente",
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+                }
+            ]
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+                    "start": 31,
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+                },
+                {
+                    "text": "cauto",
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+                    "text": "Sole",
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+                    "start": 22,
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+                },
+                {
+                    "text": "caldo",
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+            ],
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+                    "text": "Sole",
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+                },
+                {
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+            "pe_bleu_max": 100.0,
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+            "pe_chrf_max": 100.0,
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+            "pe_ter_min": 0.0,
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+            "xcomet_mt": 0.985,
+            "xcomet_pe": 0.985,
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+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
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+                    "end": 105
+                }
+            ]
+        },
+        "4": {
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+            "mt_comet_max": 0.722,
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+            "pe_bleu_max": 54.718,
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+                {
+                    "text": "Vento",
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+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.416,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
+                    "confidence": 0.689,
+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
+                    "confidence": 0.537,
+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.548,
+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.615,
+                    "severity": "minor",
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+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "il",
+                    "confidence": 0.517,
+                    "severity": "minor",
+                    "start": 28,
+                    "end": 31
+                },
+                {
+                    "text": "poteva ma",
+                    "confidence": 0.558,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 55
+                }
+            ]
+        },
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+            "pe_comet_max": 0.924,
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+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.979,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "caldi",
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+                    "severity": "minor",
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+                    "end": 28
+                }
+            ]
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+}

task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_oracle_t3_metrics.json

@@ -0,0 +1,2813 @@
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+            "pe_comet_max": 0.878,
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+            "xcomet_pe_errors": [
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+                    "text": "i di mano",
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+                    "severity": "minor",
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+                    "end": 46
+                }
+            ]
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+            "mt_ter_std": 12.334,
+            "mt_comet_max": 0.973,
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+            "pe_bleu_mean": 70.694,
+            "pe_bleu_std": 13.862,
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+            "pe_comet_mean": 0.937,
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+            "xcomet_mt": 0.995,
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+            "xcomet_pe_errors": null
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+            "mt_ter_max": 17.391,
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+            "mt_comet_max": 0.944,
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+            "pe_bleu_max": 100.0,
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+                    "text": "Sole",
+                    "confidence": 0.508,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
+                    "confidence": 0.875,
+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Sole",
+                    "confidence": 0.51,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
+                    "confidence": 0.875,
+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ]
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+            "mt_comet_max": 0.963,
+            "mt_comet_min": 0.894,
+            "mt_comet_mean": 0.939,
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+            "pe_bleu_max": 55.792,
+            "pe_bleu_min": 22.341,
+            "pe_bleu_mean": 48.995,
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+            "pe_chrf_max": 73.232,
+            "pe_chrf_min": 58.011,
+            "pe_chrf_mean": 67.958,
+            "pe_chrf_std": 4.466,
+            "pe_ter_max": 58.333,
+            "pe_ter_min": 30.0,
+            "pe_ter_mean": 39.659,
+            "pe_ter_std": 9.19,
+            "pe_comet_max": 0.915,
+            "pe_comet_min": 0.878,
+            "pe_comet_mean": 0.901,
+            "pe_comet_std": 0.01,
+            "xcomet_mt": 0.985,
+            "xcomet_pe": 0.984,
+            "xcomet_mt_errors": [
+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ],
+            "xcomet_pe_errors": null
+        },
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+            "mt_bleu_min": 15.814,
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+            "mt_chrf_max": 75.964,
+            "mt_chrf_min": 53.014,
+            "mt_chrf_mean": 65.892,
+            "mt_chrf_std": 7.331,
+            "mt_ter_max": 96.154,
+            "mt_ter_min": 30.556,
+            "mt_ter_mean": 56.059,
+            "mt_ter_std": 20.502,
+            "mt_comet_max": 0.722,
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+            "mt_comet_mean": 0.653,
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+            "pe_bleu_max": 69.984,
+            "pe_bleu_min": 33.658,
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+            "pe_bleu_std": 11.668,
+            "pe_chrf_max": 85.483,
+            "pe_chrf_min": 59.128,
+            "pe_chrf_mean": 74.175,
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+            "pe_ter_max": 69.231,
+            "pe_ter_min": 14.286,
+            "pe_ter_mean": 37.641,
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+            "xcomet_mt": 0.576,
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+            "xcomet_mt_errors": [
+                {
+                    "text": "Vento",
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+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.416,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
+                    "confidence": 0.689,
+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
+                    "confidence": 0.537,
+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.548,
+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.615,
+                    "severity": "minor",
+                    "start": 173,
+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": null
+        },
+        "5": {
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+            "mt_bleu_mean": 49.845,
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+            "mt_chrf_max": 94.747,
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+            "pe_chrf_mean": 67.28,
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+            "pe_ter_max": 57.143,
+            "pe_ter_min": 26.667,
+            "pe_ter_mean": 45.145,
+            "pe_ter_std": 8.149,
+            "pe_comet_max": 0.912,
+            "pe_comet_min": 0.89,
+            "pe_comet_mean": 0.905,
+            "pe_comet_std": 0.006,
+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.994,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": null
+        },
+        "6": {
+            "mt_bleu_max": 85.789,
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+            "mt_chrf_max": 86.244,
+            "mt_chrf_min": 54.18,
+            "mt_chrf_mean": 75.674,
+            "mt_chrf_std": 10.636,
+            "mt_ter_max": 78.571,
+            "mt_ter_min": 5.263,
+            "mt_ter_mean": 25.957,
+            "mt_ter_std": 21.651,
+            "mt_comet_max": 0.855,
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+            "pe_bleu_max": 85.789,
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+            "pe_bleu_mean": 62.635,
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+            "pe_comet_min": 0.895,
+            "pe_comet_mean": 0.928,
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+            "xcomet_mt": 0.998,
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+            "mt_chrf_max": 100.0,
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+            "mt_chrf_std": 23.51,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 0.0,
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+            "mt_ter_std": 26.242,
+            "mt_comet_max": 0.928,
+            "mt_comet_min": 0.606,
+            "mt_comet_mean": 0.821,
+            "mt_comet_std": 0.09,
+            "pe_bleu_max": 38.177,
+            "pe_bleu_min": 3.037,
+            "pe_bleu_mean": 24.845,
+            "pe_bleu_std": 12.834,
+            "pe_chrf_max": 68.717,
+            "pe_chrf_min": 27.881,
+            "pe_chrf_mean": 55.407,
+            "pe_chrf_std": 11.841,
+            "pe_ter_max": 93.75,
+            "pe_ter_min": 37.5,
+            "pe_ter_mean": 55.892,
+            "pe_ter_std": 17.836,
+            "pe_comet_max": 0.847,
+            "pe_comet_min": 0.672,
+            "pe_comet_mean": 0.81,
+            "pe_comet_std": 0.052,
+            "xcomet_mt": 0.86,
+            "xcomet_pe": 0.888,
+            "xcomet_mt_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ],
+            "xcomet_pe_errors": null
+        },
+        "8": {
+            "mt_bleu_max": 88.171,
+            "mt_bleu_min": 8.001,
+            "mt_bleu_mean": 50.844,
+            "mt_bleu_std": 26.076,
+            "mt_chrf_max": 84.659,
+            "mt_chrf_min": 28.32,
+            "mt_chrf_mean": 67.155,
+            "mt_chrf_std": 18.156,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 14.286,
+            "mt_ter_mean": 38.609,
+            "mt_ter_std": 24.738,
+            "mt_comet_max": 0.923,
+            "mt_comet_min": 0.639,
+            "mt_comet_mean": 0.79,
+            "mt_comet_std": 0.096,
+            "pe_bleu_max": 28.103,
+            "pe_bleu_min": 4.78,
+            "pe_bleu_mean": 19.948,
+            "pe_bleu_std": 6.764,
+            "pe_chrf_max": 66.471,
+            "pe_chrf_min": 24.046,
+            "pe_chrf_mean": 53.154,
+            "pe_chrf_std": 12.711,
+            "pe_ter_max": 93.75,
+            "pe_ter_min": 50.0,
+            "pe_ter_mean": 61.661,
+            "pe_ter_std": 15.388,
+            "pe_comet_max": 0.82,
+            "pe_comet_min": 0.67,
+            "pe_comet_mean": 0.751,
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+            "xcomet_mt": 0.765,
+            "xcomet_pe": 0.867,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Attento, ti grido",
+                    "confidence": 0.75,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 17
+                },
+                {
+                    "text": "perch\u00e9 ti ha sventato",
+                    "confidence": 0.677,
+                    "severity": "major",
+                    "start": 18,
+                    "end": 40
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "\"Fa' attenzione",
+                    "confidence": 0.486,
+                    "severity": "minor",
+                    "start": 0,
+                    "end": 15
+                },
+                {
+                    "text": "gri",
+                    "confidence": 0.559,
+                    "severity": "minor",
+                    "start": 17,
+                    "end": 21
+                },
+                {
+                    "text": "ti",
+                    "confidence": 0.454,
+                    "severity": "minor",
+                    "start": 32,
+                    "end": 35
+                }
+            ]
+        }
+    },
+    "8": {
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+            "mt_bleu_min": 31.888,
+            "mt_bleu_mean": 54.932,
+            "mt_bleu_std": 19.451,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 46.644,
+            "mt_chrf_mean": 69.5,
+            "mt_chrf_std": 14.883,
+            "mt_ter_max": 60.606,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 37.357,
+            "mt_ter_std": 18.505,
+            "mt_comet_max": 0.918,
+            "mt_comet_min": 0.727,
+            "mt_comet_mean": 0.803,
+            "mt_comet_std": 0.052,
+            "pe_bleu_max": 37.163,
+            "pe_bleu_min": 10.921,
+            "pe_bleu_mean": 28.375,
+            "pe_bleu_std": 7.544,
+            "pe_chrf_max": 49.602,
+            "pe_chrf_min": 37.549,
+            "pe_chrf_mean": 45.338,
+            "pe_chrf_std": 3.999,
+            "pe_ter_max": 68.75,
+            "pe_ter_min": 52.778,
+            "pe_ter_mean": 61.023,
+            "pe_ter_std": 5.305,
+            "pe_comet_max": 0.853,
+            "pe_comet_min": 0.803,
+            "pe_comet_mean": 0.829,
+            "pe_comet_std": 0.018,
+            "xcomet_mt": 0.731,
+            "xcomet_pe": 0.772,
+            "xcomet_mt_errors": [
+                {
+                    "text": "(che il cancro cresce, sapete)",
+                    "confidence": 0.718,
+                    "severity": "major",
+                    "start": 120,
+                    "end": 151
+                },
+                {
+                    "text": "tranquillo",
+                    "confidence": 0.702,
+                    "severity": "major",
+                    "start": 164,
+                    "end": 175
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "goffo",
+                    "confidence": 0.629,
+                    "severity": "major",
+                    "start": 87,
+                    "end": 93
+                },
+                {
+                    "text": "pete",
+                    "confidence": 0.394,
+                    "severity": "major",
+                    "start": 105,
+                    "end": 109
+                },
+                {
+                    "text": "funziona, con il cancro",
+                    "confidence": 0.722,
+                    "severity": "major",
+                    "start": 114,
+                    "end": 138
+                }
+            ]
+        },
+        "2": {
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+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 51.875,
+            "mt_chrf_mean": 78.44,
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+            "mt_ter_max": 66.667,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 27.951,
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+            "mt_comet_max": 0.955,
+            "mt_comet_min": 0.825,
+            "mt_comet_mean": 0.891,
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+            "pe_bleu_max": 38.207,
+            "pe_bleu_min": 11.434,
+            "pe_bleu_mean": 26.493,
+            "pe_bleu_std": 8.629,
+            "pe_chrf_max": 65.637,
+            "pe_chrf_min": 42.539,
+            "pe_chrf_mean": 52.514,
+            "pe_chrf_std": 6.201,
+            "pe_ter_max": 83.333,
+            "pe_ter_min": 47.368,
+            "pe_ter_mean": 60.937,
+            "pe_ter_std": 12.049,
+            "pe_comet_max": 0.809,
+            "pe_comet_min": 0.685,
+            "pe_comet_mean": 0.776,
+            "pe_comet_std": 0.035,
+            "xcomet_mt": 0.945,
+            "xcomet_pe": 0.9,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sciocco",
+                    "confidence": 0.499,
+                    "severity": "minor",
+                    "start": 72,
+                    "end": 80
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "mi",
+                    "confidence": 0.484,
+                    "severity": "minor",
+                    "start": 56,
+                    "end": 59
+                },
+                {
+                    "text": "confusionario",
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+                    "severity": "minor",
+                    "start": 86,
+                    "end": 100
+                }
+            ]
+        },
+        "3": {
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+            "mt_bleu_min": 28.634,
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+            "mt_chrf_max": 90.828,
+            "mt_chrf_min": 67.066,
+            "mt_chrf_mean": 79.641,
+            "mt_chrf_std": 7.28,
+            "mt_ter_max": 66.667,
+            "mt_ter_min": 8.333,
+            "mt_ter_mean": 35.943,
+            "mt_ter_std": 14.009,
+            "mt_comet_max": 0.944,
+            "mt_comet_min": 0.799,
+            "mt_comet_mean": 0.908,
+            "mt_comet_std": 0.046,
+            "pe_bleu_max": 65.406,
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task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_supervised_t1_metrics.json

@@ -0,0 +1,2804 @@
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+                    "start": 22,
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+                },
+                {
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+                }
+            ],
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+                    "start": 6,
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+                },
+                {
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+                    "start": 27,
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+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
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+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
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+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
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+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
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+                    "severity": "minor",
+                    "start": 173,
+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": [
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+                    "text": "Nord",
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+                    "severity": "minor",
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+                }
+            ]
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+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.996,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
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+}

task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_supervised_t2_metrics.json

@@ -0,0 +1,2830 @@
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+            "pe_bleu_min": 25.347,
+            "pe_bleu_mean": 67.9,
+            "pe_bleu_std": 24.035,
+            "pe_chrf_max": 96.129,
+            "pe_chrf_min": 62.231,
+            "pe_chrf_mean": 84.997,
+            "pe_chrf_std": 12.461,
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+            "pe_ter_min": 5.882,
+            "pe_ter_mean": 17.333,
+            "pe_ter_std": 12.688,
+            "pe_comet_max": 0.962,
+            "pe_comet_min": 0.915,
+            "pe_comet_mean": 0.946,
+            "pe_comet_std": 0.017,
+            "xcomet_mt": 0.982,
+            "xcomet_pe": 0.984,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": null
+        }
+    },
+    "7": {
+        "1": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 51.745,
+            "mt_bleu_mean": 77.696,
+            "mt_bleu_std": 19.801,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 74.125,
+            "mt_chrf_mean": 87.069,
+            "mt_chrf_std": 10.186,
+            "mt_ter_max": 31.25,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 14.305,
+            "mt_ter_std": 12.334,
+            "mt_comet_max": 0.973,
+            "mt_comet_min": 0.915,
+            "mt_comet_mean": 0.947,
+            "mt_comet_std": 0.021,
+            "pe_bleu_max": 88.439,
+            "pe_bleu_min": 54.119,
+            "pe_bleu_mean": 71.163,
+            "pe_bleu_std": 13.325,
+            "pe_chrf_max": 85.855,
+            "pe_chrf_min": 70.7,
+            "pe_chrf_mean": 79.591,
+            "pe_chrf_std": 3.747,
+            "pe_ter_max": 29.412,
+            "pe_ter_min": 6.25,
+            "pe_ter_mean": 17.647,
+            "pe_ter_std": 7.062,
+            "pe_comet_max": 0.957,
+            "pe_comet_min": 0.929,
+            "pe_comet_mean": 0.942,
+            "pe_comet_std": 0.007,
+            "xcomet_mt": 0.995,
+            "xcomet_pe": 0.995,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": null
+        },
+        "2": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 75.451,
+            "mt_bleu_mean": 91.707,
+            "mt_bleu_std": 8.813,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 86.06,
+            "mt_chrf_mean": 94.896,
+            "mt_chrf_std": 5.305,
+            "mt_ter_max": 17.391,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 5.314,
+            "mt_ter_std": 5.695,
+            "mt_comet_max": 0.944,
+            "mt_comet_min": 0.906,
+            "mt_comet_mean": 0.932,
+            "mt_comet_std": 0.014,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 75.451,
+            "pe_bleu_mean": 90.878,
+            "pe_bleu_std": 8.824,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 86.06,
+            "pe_chrf_mean": 94.386,
+            "pe_chrf_std": 5.3,
+            "pe_ter_max": 17.391,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 5.846,
+            "pe_ter_std": 5.707,
+            "pe_comet_max": 0.944,
+            "pe_comet_min": 0.906,
+            "pe_comet_mean": 0.931,
+            "pe_comet_std": 0.014,
+            "xcomet_mt": 0.961,
+            "xcomet_pe": 0.961,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Sole",
+                    "confidence": 0.508,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
+                    "confidence": 0.875,
+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Sole",
+                    "confidence": 0.51,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
+                    "confidence": 0.875,
+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ]
+        },
+        "3": {
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+            "mt_bleu_min": 15.228,
+            "mt_bleu_mean": 75.028,
+            "mt_bleu_std": 27.815,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 65.938,
+            "mt_chrf_mean": 88.379,
+            "mt_chrf_std": 13.288,
+            "mt_ter_max": 52.174,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 18.149,
+            "mt_ter_std": 19.196,
+            "mt_comet_max": 0.963,
+            "mt_comet_min": 0.894,
+            "mt_comet_mean": 0.939,
+            "mt_comet_std": 0.026,
+            "pe_bleu_max": 86.006,
+            "pe_bleu_min": 12.199,
+            "pe_bleu_mean": 66.755,
+            "pe_bleu_std": 22.174,
+            "pe_chrf_max": 98.425,
+            "pe_chrf_min": 63.201,
+            "pe_chrf_mean": 83.738,
+            "pe_chrf_std": 11.016,
+            "pe_ter_max": 65.217,
+            "pe_ter_min": 10.0,
+            "pe_ter_mean": 26.494,
+            "pe_ter_std": 15.496,
+            "pe_comet_max": 0.946,
+            "pe_comet_min": 0.89,
+            "pe_comet_mean": 0.926,
+            "pe_comet_std": 0.017,
+            "xcomet_mt": 0.985,
+            "xcomet_pe": 0.982,
+            "xcomet_mt_errors": [
+                {
+                    "text": "doveva",
+                    "confidence": 0.866,
+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "doveva",
+                    "confidence": 0.817,
+                    "severity": "minor",
+                    "start": 93,
+                    "end": 100
+                }
+            ]
+        },
+        "4": {
+            "mt_bleu_max": 54.296,
+            "mt_bleu_min": 15.814,
+            "mt_bleu_mean": 38.127,
+            "mt_bleu_std": 12.308,
+            "mt_chrf_max": 75.964,
+            "mt_chrf_min": 53.014,
+            "mt_chrf_mean": 65.892,
+            "mt_chrf_std": 7.331,
+            "mt_ter_max": 96.154,
+            "mt_ter_min": 30.556,
+            "mt_ter_mean": 56.059,
+            "mt_ter_std": 20.502,
+            "mt_comet_max": 0.722,
+            "mt_comet_min": 0.591,
+            "mt_comet_mean": 0.653,
+            "mt_comet_std": 0.031,
+            "pe_bleu_max": 51.61,
+            "pe_bleu_min": 23.467,
+            "pe_bleu_mean": 36.44,
+            "pe_bleu_std": 9.421,
+            "pe_chrf_max": 71.021,
+            "pe_chrf_min": 52.236,
+            "pe_chrf_mean": 62.82,
+            "pe_chrf_std": 5.819,
+            "pe_ter_max": 56.25,
+            "pe_ter_min": 35.714,
+            "pe_ter_mean": 48.655,
+            "pe_ter_std": 6.757,
+            "pe_comet_max": 0.873,
+            "pe_comet_min": 0.811,
+            "pe_comet_mean": 0.855,
+            "pe_comet_std": 0.017,
+            "xcomet_mt": 0.576,
+            "xcomet_pe": 0.95,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Vento",
+                    "confidence": 0.699,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.416,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
+                    "confidence": 0.689,
+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
+                    "confidence": 0.537,
+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.548,
+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.615,
+                    "severity": "minor",
+                    "start": 173,
+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "to",
+                    "confidence": 0.511,
+                    "severity": "minor",
+                    "start": 14,
+                    "end": 16
+                },
+                {
+                    "text": "che pot\u00e9",
+                    "confidence": 0.549,
+                    "severity": "minor",
+                    "start": 42,
+                    "end": 51
+                }
+            ]
+        },
+        "5": {
+            "mt_bleu_max": 82.424,
+            "mt_bleu_min": 11.722,
+            "mt_bleu_mean": 49.845,
+            "mt_bleu_std": 19.061,
+            "mt_chrf_max": 94.747,
+            "mt_chrf_min": 41.388,
+            "mt_chrf_mean": 66.357,
+            "mt_chrf_std": 13.352,
+            "mt_ter_max": 61.905,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 33.44,
+            "mt_ter_std": 15.189,
+            "mt_comet_max": 0.958,
+            "mt_comet_min": 0.843,
+            "mt_comet_mean": 0.901,
+            "mt_comet_std": 0.03,
+            "pe_bleu_max": 26.293,
+            "pe_bleu_min": 12.485,
+            "pe_bleu_mean": 23.175,
+            "pe_bleu_std": 3.794,
+            "pe_chrf_max": 67.92,
+            "pe_chrf_min": 39.508,
+            "pe_chrf_mean": 59.686,
+            "pe_chrf_std": 9.003,
+            "pe_ter_max": 61.905,
+            "pe_ter_min": 33.333,
+            "pe_ter_mean": 45.487,
+            "pe_ter_std": 6.937,
+            "pe_comet_max": 0.928,
+            "pe_comet_min": 0.878,
+            "pe_comet_mean": 0.913,
+            "pe_comet_std": 0.015,
+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.972,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Quindi",
+                    "confidence": 0.864,
+                    "severity": "minor",
+                    "start": 0,
+                    "end": 6
+                }
+            ]
+        },
+        "6": {
+            "mt_bleu_max": 85.789,
+            "mt_bleu_min": 33.924,
+            "mt_bleu_mean": 64.052,
+            "mt_bleu_std": 17.289,
+            "mt_chrf_max": 86.244,
+            "mt_chrf_min": 54.18,
+            "mt_chrf_mean": 75.674,
+            "mt_chrf_std": 10.636,
+            "mt_ter_max": 78.571,
+            "mt_ter_min": 5.263,
+            "mt_ter_mean": 25.957,
+            "mt_ter_std": 21.651,
+            "mt_comet_max": 0.855,
+            "mt_comet_min": 0.768,
+            "mt_comet_mean": 0.831,
+            "mt_comet_std": 0.031,
+            "pe_bleu_max": 89.147,
+            "pe_bleu_min": 42.224,
+            "pe_bleu_mean": 61.316,
+            "pe_bleu_std": 12.642,
+            "pe_chrf_max": 94.118,
+            "pe_chrf_min": 68.741,
+            "pe_chrf_mean": 77.495,
+            "pe_chrf_std": 7.229,
+            "pe_ter_max": 71.429,
+            "pe_ter_min": 10.526,
+            "pe_ter_mean": 31.359,
+            "pe_ter_std": 16.233,
+            "pe_comet_max": 0.947,
+            "pe_comet_min": 0.886,
+            "pe_comet_mean": 0.92,
+            "pe_comet_std": 0.02,
+            "xcomet_mt": 0.998,
+            "xcomet_pe": 0.99,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": [
+                {
+                    "text": "Cos\u00ec,",
+                    "confidence": 0.666,
+                    "severity": "minor",
+                    "start": 0,
+                    "end": 5
+                }
+            ]
+        },
+        "7": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 3.049,
+            "mt_bleu_mean": 48.439,
+            "mt_bleu_std": 32.388,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 26.009,
+            "mt_chrf_mean": 69.03,
+            "mt_chrf_std": 23.51,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 33.271,
+            "mt_ter_std": 26.242,
+            "mt_comet_max": 0.928,
+            "mt_comet_min": 0.606,
+            "mt_comet_mean": 0.821,
+            "mt_comet_std": 0.09,
+            "pe_bleu_max": 42.951,
+            "pe_bleu_min": 5.423,
+            "pe_bleu_mean": 24.645,
+            "pe_bleu_std": 13.938,
+            "pe_chrf_max": 74.814,
+            "pe_chrf_min": 29.279,
+            "pe_chrf_mean": 54.231,
+            "pe_chrf_std": 14.85,
+            "pe_ter_max": 81.25,
+            "pe_ter_min": 37.5,
+            "pe_ter_mean": 53.497,
+            "pe_ter_std": 13.275,
+            "pe_comet_max": 0.823,
+            "pe_comet_min": 0.567,
+            "pe_comet_mean": 0.725,
+            "pe_comet_std": 0.071,
+            "xcomet_mt": 0.86,
+            "xcomet_pe": 0.903,
+            "xcomet_mt_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.693,
+                    "severity": "minor",
+                    "start": 65,
+                    "end": 79
+                }
+            ]
+        },
+        "8": {
+            "mt_bleu_max": 88.171,
+            "mt_bleu_min": 8.001,
+            "mt_bleu_mean": 50.844,
+            "mt_bleu_std": 26.076,
+            "mt_chrf_max": 84.659,
+            "mt_chrf_min": 28.32,
+            "mt_chrf_mean": 67.155,
+            "mt_chrf_std": 18.156,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 14.286,
+            "mt_ter_mean": 38.609,
+            "mt_ter_std": 24.738,
+            "mt_comet_max": 0.923,
+            "mt_comet_min": 0.639,
+            "mt_comet_mean": 0.79,
+            "mt_comet_std": 0.096,
+            "pe_bleu_max": 74.478,
+            "pe_bleu_min": 7.92,
+            "pe_bleu_mean": 47.133,
+            "pe_bleu_std": 24.975,
+            "pe_chrf_max": 77.429,
+            "pe_chrf_min": 26.042,
+            "pe_chrf_mean": 62.999,
+            "pe_chrf_std": 17.042,
+            "pe_ter_max": 81.25,
+            "pe_ter_min": 16.667,
+            "pe_ter_mean": 40.483,
+            "pe_ter_std": 22.649,
+            "pe_comet_max": 0.854,
+            "pe_comet_min": 0.638,
+            "pe_comet_mean": 0.761,
+            "pe_comet_std": 0.074,
+            "xcomet_mt": 0.765,
+            "xcomet_pe": 0.832,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Attento, ti grido",
+                    "confidence": 0.75,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 17
+                },
+                {
+                    "text": "perch\u00e9 ti ha sventato",
+                    "confidence": 0.677,
+                    "severity": "major",
+                    "start": 18,
+                    "end": 40
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "grido",
+                    "confidence": 0.669,
+                    "severity": "minor",
+                    "start": 11,
+                    "end": 17
+                },
+                {
+                    "text": "ti ha fregato",
+                    "confidence": 0.641,
+                    "severity": "major",
+                    "start": 25,
+                    "end": 39
+                }
+            ]
+        }
+    },
+    "8": {
+        "1": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 31.888,
+            "mt_bleu_mean": 54.932,
+            "mt_bleu_std": 19.451,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 46.644,
+            "mt_chrf_mean": 69.5,
+            "mt_chrf_std": 14.883,
+            "mt_ter_max": 60.606,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 37.357,
+            "mt_ter_std": 18.505,
+            "mt_comet_max": 0.918,
+            "mt_comet_min": 0.727,
+            "mt_comet_mean": 0.803,
+            "mt_comet_std": 0.052,
+            "pe_bleu_max": 65.849,
+            "pe_bleu_min": 34.135,
+            "pe_bleu_mean": 47.814,
+            "pe_bleu_std": 10.79,
+            "pe_chrf_max": 84.229,
+            "pe_chrf_min": 49.355,
+            "pe_chrf_mean": 65.524,
+            "pe_chrf_std": 10.634,
+            "pe_ter_max": 57.576,
+            "pe_ter_min": 23.529,
+            "pe_ter_mean": 41.631,
+            "pe_ter_std": 11.625,
+            "pe_comet_max": 0.896,
+            "pe_comet_min": 0.8,
+            "pe_comet_mean": 0.839,
+            "pe_comet_std": 0.028,
+            "xcomet_mt": 0.731,
+            "xcomet_pe": 0.641,
+            "xcomet_mt_errors": [
+                {
+                    "text": "(che il cancro cresce, sapete)",
+                    "confidence": 0.718,
+                    "severity": "major",
+                    "start": 120,
+                    "end": 151
+                },
+                {
+                    "text": "tranquillo",
+                    "confidence": 0.702,
+                    "severity": "major",
+                    "start": 164,
+                    "end": 175
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "sco",
+                    "confidence": 0.551,
+                    "severity": "major",
+                    "start": 88,
+                    "end": 92
+                },
+                {
+                    "text": "impacciato",
+                    "confidence": 0.775,
+                    "severity": "major",
+                    "start": 100,
+                    "end": 111
+                },
+                {
+                    "text": "(il cancro cresce, sapete),",
+                    "confidence": 0.621,
+                    "severity": "major",
+                    "start": 119,
+                    "end": 147
+                },
+                {
+                    "text": "tranquillo",
+                    "confidence": 0.685,
+                    "severity": "major",
+                    "start": 160,
+                    "end": 171
+                }
+            ]
+        },
+        "2": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 32.274,
+            "mt_bleu_mean": 65.961,
+            "mt_bleu_std": 25.098,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 51.875,
+            "mt_chrf_mean": 78.44,
+            "mt_chrf_std": 15.741,
+            "mt_ter_max": 66.667,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 27.951,
+            "mt_ter_std": 21.549,
+            "mt_comet_max": 0.955,
+            "mt_comet_min": 0.825,
+            "mt_comet_mean": 0.891,
+            "mt_comet_std": 0.043,
+            "pe_bleu_max": 80.378,
+            "pe_bleu_min": 27.067,
+            "pe_bleu_mean": 56.062,
+            "pe_bleu_std": 18.889,
+            "pe_chrf_max": 84.967,
+            "pe_chrf_min": 52.51,
+            "pe_chrf_mean": 71.582,
+            "pe_chrf_std": 11.279,
+            "pe_ter_max": 62.5,
+            "pe_ter_min": 11.765,
+            "pe_ter_mean": 34.996,
+            "pe_ter_std": 16.333,
+            "pe_comet_max": 0.891,
+            "pe_comet_min": 0.822,
+            "pe_comet_mean": 0.868,
+            "pe_comet_std": 0.028,
+            "xcomet_mt": 0.945,
+            "xcomet_pe": 0.974,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sciocco",
+                    "confidence": 0.499,
+                    "severity": "minor",
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task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_supervised_t3_metrics.json

@@ -0,0 +1,2885 @@
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+                {
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+                },
+                {
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+                    "start": 56,
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+                },
+                {
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+                },
+                {
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+                {
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+                }
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+}

task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_unsupervised_t2_metrics.json

@@ -0,0 +1,2845 @@
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+            ],
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+                {
+                    "text": "\u00e8 vero",
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+                    "severity": "major",
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+                    "end": 99
+                }
+            ]
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+                    "text": "stato cosi",
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+                    "severity": "major",
+                    "start": 31,
+                    "end": 42
+                },
+                {
+                    "text": "cauto",
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+            "pe_ter_min": 5.882,
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+                    "text": "Sole",
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+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
+                    "text": "caldo",
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+                    "severity": "minor",
+                    "start": 125,
+                    "end": 131
+                }
+            ],
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+                    "text": "Sole",
+                    "confidence": 0.54,
+                    "severity": "minor",
+                    "start": 22,
+                    "end": 27
+                },
+                {
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+                    "severity": "minor",
+                    "start": 132,
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+                }
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+            "pe_bleu_min": 8.865,
+            "pe_bleu_mean": 15.563,
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+            "pe_chrf_max": 70.387,
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+            "pe_chrf_mean": 63.103,
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+            "pe_ter_max": 66.667,
+            "pe_ter_min": 54.545,
+            "pe_ter_mean": 58.229,
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+            "pe_comet_max": 0.883,
+            "pe_comet_min": 0.853,
+            "pe_comet_mean": 0.864,
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+            "xcomet_mt": 0.985,
+            "xcomet_pe": 0.996,
+            "xcomet_mt_errors": [
+                {
+                    "text": "doveva",
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+                    "severity": "minor",
+                    "start": 98,
+                    "end": 105
+                }
+            ],
+            "xcomet_pe_errors": null
+        },
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+            "mt_bleu_min": 15.814,
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+            "mt_chrf_max": 75.964,
+            "mt_chrf_min": 53.014,
+            "mt_chrf_mean": 65.892,
+            "mt_chrf_std": 7.331,
+            "mt_ter_max": 96.154,
+            "mt_ter_min": 30.556,
+            "mt_ter_mean": 56.059,
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+            "mt_comet_max": 0.722,
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+            "pe_bleu_max": 66.471,
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+            "pe_chrf_max": 81.041,
+            "pe_chrf_min": 51.98,
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+            "pe_ter_mean": 38.259,
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+            "pe_comet_mean": 0.832,
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+            "xcomet_mt": 0.576,
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+            "xcomet_mt_errors": [
+                {
+                    "text": "Vento",
+                    "confidence": 0.699,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.416,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
+                    "confidence": 0.689,
+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
+                    "confidence": 0.537,
+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.548,
+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.615,
+                    "severity": "minor",
+                    "start": 173,
+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Vento",
+                    "confidence": 0.583,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "atore si stringeva nel mantello",
+                    "confidence": 0.612,
+                    "severity": "major",
+                    "start": 82,
+                    "end": 113
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.71,
+                    "severity": "minor",
+                    "start": 124,
+                    "end": 130
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.72,
+                    "severity": "minor",
+                    "start": 134,
+                    "end": 139
+                }
+            ]
+        },
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+            "pe_ter_mean": 48.682,
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+            "pe_comet_max": 0.939,
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+            "pe_comet_mean": 0.916,
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+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.997,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": null
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+            "mt_comet_max": 0.855,
+            "mt_comet_min": 0.768,
+            "mt_comet_mean": 0.831,
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+            "pe_bleu_max": 89.147,
+            "pe_bleu_min": 39.671,
+            "pe_bleu_mean": 66.699,
+            "pe_bleu_std": 15.965,
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+            "pe_chrf_min": 63.187,
+            "pe_chrf_mean": 80.113,
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+            "pe_ter_max": 71.429,
+            "pe_ter_min": 10.526,
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+            "pe_ter_std": 20.46,
+            "pe_comet_max": 0.95,
+            "pe_comet_min": 0.89,
+            "pe_comet_mean": 0.927,
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+            "xcomet_mt": 0.998,
+            "xcomet_pe": 1.0,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": null
+        },
+        "7": {
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+            "mt_bleu_min": 3.049,
+            "mt_bleu_mean": 48.439,
+            "mt_bleu_std": 32.388,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 26.009,
+            "mt_chrf_mean": 69.03,
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+            "mt_ter_max": 87.5,
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+            "mt_ter_mean": 33.271,
+            "mt_ter_std": 26.242,
+            "mt_comet_max": 0.928,
+            "mt_comet_min": 0.606,
+            "mt_comet_mean": 0.821,
+            "mt_comet_std": 0.09,
+            "pe_bleu_max": 78.67,
+            "pe_bleu_min": 3.049,
+            "pe_bleu_mean": 45.632,
+            "pe_bleu_std": 28.11,
+            "pe_chrf_max": 94.628,
+            "pe_chrf_min": 26.486,
+            "pe_chrf_mean": 68.186,
+            "pe_chrf_std": 23.012,
+            "pe_ter_max": 87.5,
+            "pe_ter_min": 6.25,
+            "pe_ter_mean": 35.059,
+            "pe_ter_std": 25.808,
+            "pe_comet_max": 0.893,
+            "pe_comet_min": 0.603,
+            "pe_comet_mean": 0.799,
+            "pe_comet_std": 0.084,
+            "xcomet_mt": 0.86,
+            "xcomet_pe": 0.857,
+            "xcomet_mt_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "magro",
+                    "confidence": 0.561,
+                    "severity": "minor",
+                    "start": 55,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.776,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ]
+        },
+        "8": {
+            "mt_bleu_max": 88.171,
+            "mt_bleu_min": 8.001,
+            "mt_bleu_mean": 50.844,
+            "mt_bleu_std": 26.076,
+            "mt_chrf_max": 84.659,
+            "mt_chrf_min": 28.32,
+            "mt_chrf_mean": 67.155,
+            "mt_chrf_std": 18.156,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 14.286,
+            "mt_ter_mean": 38.609,
+            "mt_ter_std": 24.738,
+            "mt_comet_max": 0.923,
+            "mt_comet_min": 0.639,
+            "mt_comet_mean": 0.79,
+            "mt_comet_std": 0.096,
+            "pe_bleu_max": 66.998,
+            "pe_bleu_min": 8.048,
+            "pe_bleu_mean": 44.243,
+            "pe_bleu_std": 22.148,
+            "pe_chrf_max": 81.94,
+            "pe_chrf_min": 26.852,
+            "pe_chrf_mean": 63.334,
+            "pe_chrf_std": 16.333,
+            "pe_ter_max": 87.5,
+            "pe_ter_min": 25.0,
+            "pe_ter_mean": 49.686,
+            "pe_ter_std": 20.688,
+            "pe_comet_max": 0.861,
+            "pe_comet_min": 0.646,
+            "pe_comet_mean": 0.775,
+            "pe_comet_std": 0.082,
+            "xcomet_mt": 0.765,
+            "xcomet_pe": 0.677,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Attento, ti grido",
+                    "confidence": 0.75,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 17
+                },
+                {
+                    "text": "perch\u00e9 ti ha sventato",
+                    "confidence": 0.677,
+                    "severity": "major",
+                    "start": 18,
+                    "end": 40
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Fai",
+                    "confidence": 0.619,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 3
+                },
+                {
+                    "text": ", ti grido",
+                    "confidence": 0.601,
+                    "severity": "major",
+                    "start": 14,
+                    "end": 24
+                },
+                {
+                    "text": "ti",
+                    "confidence": 0.722,
+                    "severity": "major",
+                    "start": 32,
+                    "end": 35
+                },
+                {
+                    "text": "sventato",
+                    "confidence": 0.628,
+                    "severity": "major",
+                    "start": 38,
+                    "end": 47
+                }
+            ]
+        }
+    },
+    "8": {
+        "1": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 31.888,
+            "mt_bleu_mean": 54.932,
+            "mt_bleu_std": 19.451,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 46.644,
+            "mt_chrf_mean": 69.5,
+            "mt_chrf_std": 14.883,
+            "mt_ter_max": 60.606,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 37.357,
+            "mt_ter_std": 18.505,
+            "mt_comet_max": 0.918,
+            "mt_comet_min": 0.727,
+            "mt_comet_mean": 0.803,
+            "mt_comet_std": 0.052,
+            "pe_bleu_max": 55.101,
+            "pe_bleu_min": 13.997,
+            "pe_bleu_mean": 38.858,
+            "pe_bleu_std": 10.989,
+            "pe_chrf_max": 64.699,
+            "pe_chrf_min": 44.081,
+            "pe_chrf_mean": 53.151,
+            "pe_chrf_std": 6.371,
+            "pe_ter_max": 71.875,
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task/posttask/outputs/eng-ita/metrics/posttask_eng-ita_unsupervised_t3_metrics.json

@@ -0,0 +1,2847 @@
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+            "xcomet_pe": 0.966,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Vento",
+                    "confidence": 0.699,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 12
+                },
+                {
+                    "text": "\u00f2",
+                    "confidence": 0.416,
+                    "severity": "minor",
+                    "start": 27,
+                    "end": 28
+                },
+                {
+                    "text": "il pi\u00f9 ha soffiato il pi\u00f9",
+                    "confidence": 0.689,
+                    "severity": "major",
+                    "start": 56,
+                    "end": 82
+                },
+                {
+                    "text": "strettamente ha il viaggiatore piegare",
+                    "confidence": 0.537,
+                    "severity": "major",
+                    "start": 83,
+                    "end": 121
+                },
+                {
+                    "text": "Vento",
+                    "confidence": 0.548,
+                    "severity": "minor",
+                    "start": 163,
+                    "end": 169
+                },
+                {
+                    "text": "Nord",
+                    "confidence": 0.615,
+                    "severity": "minor",
+                    "start": 173,
+                    "end": 178
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Cos\u00ec",
+                    "confidence": 0.597,
+                    "severity": "minor",
+                    "start": 0,
+                    "end": 4
+                },
+                {
+                    "text": "to",
+                    "confidence": 0.676,
+                    "severity": "minor",
+                    "start": 12,
+                    "end": 14
+                }
+            ]
+        },
+        "5": {
+            "mt_bleu_max": 82.424,
+            "mt_bleu_min": 11.722,
+            "mt_bleu_mean": 49.845,
+            "mt_bleu_std": 19.061,
+            "mt_chrf_max": 94.747,
+            "mt_chrf_min": 41.388,
+            "mt_chrf_mean": 66.357,
+            "mt_chrf_std": 13.352,
+            "mt_ter_max": 61.905,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 33.44,
+            "mt_ter_std": 15.189,
+            "mt_comet_max": 0.958,
+            "mt_comet_min": 0.843,
+            "mt_comet_mean": 0.901,
+            "mt_comet_std": 0.03,
+            "pe_bleu_max": 68.897,
+            "pe_bleu_min": 13.739,
+            "pe_bleu_mean": 38.339,
+            "pe_bleu_std": 13.541,
+            "pe_chrf_max": 79.394,
+            "pe_chrf_min": 43.768,
+            "pe_chrf_mean": 55.289,
+            "pe_chrf_std": 10.019,
+            "pe_ter_max": 57.143,
+            "pe_ter_min": 25.0,
+            "pe_ter_mean": 41.844,
+            "pe_ter_std": 9.059,
+            "pe_comet_max": 0.939,
+            "pe_comet_min": 0.874,
+            "pe_comet_mean": 0.907,
+            "pe_comet_std": 0.021,
+            "xcomet_mt": 0.96,
+            "xcomet_pe": 0.948,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sole splendeva caldo",
+                    "confidence": 0.813,
+                    "severity": "minor",
+                    "start": 6,
+                    "end": 27
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "sole",
+                    "confidence": 0.505,
+                    "severity": "minor",
+                    "start": 7,
+                    "end": 12
+                }
+            ]
+        },
+        "6": {
+            "mt_bleu_max": 85.789,
+            "mt_bleu_min": 33.924,
+            "mt_bleu_mean": 64.052,
+            "mt_bleu_std": 17.289,
+            "mt_chrf_max": 86.244,
+            "mt_chrf_min": 54.18,
+            "mt_chrf_mean": 75.674,
+            "mt_chrf_std": 10.636,
+            "mt_ter_max": 78.571,
+            "mt_ter_min": 5.263,
+            "mt_ter_mean": 25.957,
+            "mt_ter_std": 21.651,
+            "mt_comet_max": 0.855,
+            "mt_comet_min": 0.768,
+            "mt_comet_mean": 0.831,
+            "mt_comet_std": 0.031,
+            "pe_bleu_max": 52.642,
+            "pe_bleu_min": 26.7,
+            "pe_bleu_mean": 42.708,
+            "pe_bleu_std": 8.591,
+            "pe_chrf_max": 71.7,
+            "pe_chrf_min": 53.89,
+            "pe_chrf_mean": 65.716,
+            "pe_chrf_std": 5.572,
+            "pe_ter_max": 92.857,
+            "pe_ter_min": 50.0,
+            "pe_ter_mean": 58.246,
+            "pe_ter_std": 12.525,
+            "pe_comet_max": 0.889,
+            "pe_comet_min": 0.813,
+            "pe_comet_mean": 0.869,
+            "pe_comet_std": 0.026,
+            "xcomet_mt": 0.998,
+            "xcomet_pe": 0.991,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": [
+                {
+                    "text": "Cos\u00ec",
+                    "confidence": 0.807,
+                    "severity": "minor",
+                    "start": 0,
+                    "end": 4
+                }
+            ]
+        },
+        "7": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 3.049,
+            "mt_bleu_mean": 48.439,
+            "mt_bleu_std": 32.388,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 26.009,
+            "mt_chrf_mean": 69.03,
+            "mt_chrf_std": 23.51,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 33.271,
+            "mt_ter_std": 26.242,
+            "mt_comet_max": 0.928,
+            "mt_comet_min": 0.606,
+            "mt_comet_mean": 0.821,
+            "mt_comet_std": 0.09,
+            "pe_bleu_max": 76.679,
+            "pe_bleu_min": 3.043,
+            "pe_bleu_mean": 36.533,
+            "pe_bleu_std": 23.997,
+            "pe_chrf_max": 89.981,
+            "pe_chrf_min": 26.229,
+            "pe_chrf_mean": 64.127,
+            "pe_chrf_std": 20.707,
+            "pe_ter_max": 87.5,
+            "pe_ter_min": 12.5,
+            "pe_ter_mean": 37.822,
+            "pe_ter_std": 23.239,
+            "pe_comet_max": 0.894,
+            "pe_comet_min": 0.638,
+            "pe_comet_mean": 0.819,
+            "pe_comet_std": 0.078,
+            "xcomet_mt": 0.86,
+            "xcomet_pe": 0.893,
+            "xcomet_mt_errors": [
+                {
+                    "text": "ogni magro cane",
+                    "confidence": 0.542,
+                    "severity": "minor",
+                    "start": 45,
+                    "end": 61
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.755,
+                    "severity": "minor",
+                    "start": 67,
+                    "end": 81
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "magro",
+                    "confidence": 0.451,
+                    "severity": "minor",
+                    "start": 47,
+                    "end": 53
+                },
+                {
+                    "text": "la calma luna",
+                    "confidence": 0.824,
+                    "severity": "minor",
+                    "start": 59,
+                    "end": 73
+                }
+            ]
+        },
+        "8": {
+            "mt_bleu_max": 88.171,
+            "mt_bleu_min": 8.001,
+            "mt_bleu_mean": 50.844,
+            "mt_bleu_std": 26.076,
+            "mt_chrf_max": 84.659,
+            "mt_chrf_min": 28.32,
+            "mt_chrf_mean": 67.155,
+            "mt_chrf_std": 18.156,
+            "mt_ter_max": 87.5,
+            "mt_ter_min": 14.286,
+            "mt_ter_mean": 38.609,
+            "mt_ter_std": 24.738,
+            "mt_comet_max": 0.923,
+            "mt_comet_min": 0.639,
+            "mt_comet_mean": 0.79,
+            "mt_comet_std": 0.096,
+            "pe_bleu_max": 100.0,
+            "pe_bleu_min": 7.92,
+            "pe_bleu_mean": 51.268,
+            "pe_bleu_std": 29.553,
+            "pe_chrf_max": 100.0,
+            "pe_chrf_min": 27.302,
+            "pe_chrf_mean": 65.94,
+            "pe_chrf_std": 20.241,
+            "pe_ter_max": 81.25,
+            "pe_ter_min": 0.0,
+            "pe_ter_mean": 37.38,
+            "pe_ter_std": 25.461,
+            "pe_comet_max": 0.958,
+            "pe_comet_min": 0.652,
+            "pe_comet_mean": 0.785,
+            "pe_comet_std": 0.102,
+            "xcomet_mt": 0.765,
+            "xcomet_pe": 0.773,
+            "xcomet_mt_errors": [
+                {
+                    "text": "Attento, ti grido",
+                    "confidence": 0.75,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 17
+                },
+                {
+                    "text": "perch\u00e9 ti ha sventato",
+                    "confidence": 0.677,
+                    "severity": "major",
+                    "start": 18,
+                    "end": 40
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "Attento",
+                    "confidence": 0.454,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 7
+                },
+                {
+                    "text": "grido",
+                    "confidence": 0.591,
+                    "severity": "minor",
+                    "start": 8,
+                    "end": 14
+                },
+                {
+                    "text": "ti ha sconfitto",
+                    "confidence": 0.574,
+                    "severity": "major",
+                    "start": 22,
+                    "end": 38
+                }
+            ]
+        }
+    },
+    "8": {
+        "1": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 31.888,
+            "mt_bleu_mean": 54.932,
+            "mt_bleu_std": 19.451,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 46.644,
+            "mt_chrf_mean": 69.5,
+            "mt_chrf_std": 14.883,
+            "mt_ter_max": 60.606,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 37.357,
+            "mt_ter_std": 18.505,
+            "mt_comet_max": 0.918,
+            "mt_comet_min": 0.727,
+            "mt_comet_mean": 0.803,
+            "mt_comet_std": 0.052,
+            "pe_bleu_max": 41.116,
+            "pe_bleu_min": 10.921,
+            "pe_bleu_mean": 23.399,
+            "pe_bleu_std": 10.138,
+            "pe_chrf_max": 63.284,
+            "pe_chrf_min": 38.135,
+            "pe_chrf_mean": 52.791,
+            "pe_chrf_std": 7.378,
+            "pe_ter_max": 76.667,
+            "pe_ter_min": 41.667,
+            "pe_ter_mean": 59.115,
+            "pe_ter_std": 9.175,
+            "pe_comet_max": 0.828,
+            "pe_comet_min": 0.775,
+            "pe_comet_mean": 0.807,
+            "pe_comet_std": 0.015,
+            "xcomet_mt": 0.731,
+            "xcomet_pe": 0.858,
+            "xcomet_mt_errors": [
+                {
+                    "text": "(che il cancro cresce, sapete)",
+                    "confidence": 0.718,
+                    "severity": "major",
+                    "start": 120,
+                    "end": 151
+                },
+                {
+                    "text": "tranquillo",
+                    "confidence": 0.702,
+                    "severity": "major",
+                    "start": 164,
+                    "end": 175
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "ffo",
+                    "confidence": 0.402,
+                    "severity": "minor",
+                    "start": 101,
+                    "end": 104
+                },
+                {
+                    "text": "cancro",
+                    "confidence": 0.711,
+                    "severity": "minor",
+                    "start": 124,
+                    "end": 131
+                },
+                {
+                    "text": "pete",
+                    "confidence": 0.621,
+                    "severity": "minor",
+                    "start": 135,
+                    "end": 139
+                },
+                {
+                    "text": "tranquillo",
+                    "confidence": 0.475,
+                    "severity": "major",
+                    "start": 154,
+                    "end": 165
+                }
+            ]
+        },
+        "2": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 32.274,
+            "mt_bleu_mean": 65.961,
+            "mt_bleu_std": 25.098,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 51.875,
+            "mt_chrf_mean": 78.44,
+            "mt_chrf_std": 15.741,
+            "mt_ter_max": 66.667,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 27.951,
+            "mt_ter_std": 21.549,
+            "mt_comet_max": 0.955,
+            "mt_comet_min": 0.825,
+            "mt_comet_mean": 0.891,
+            "mt_comet_std": 0.043,
+            "pe_bleu_max": 59.037,
+            "pe_bleu_min": 18.28,
+            "pe_bleu_mean": 42.961,
+            "pe_bleu_std": 10.627,
+            "pe_chrf_max": 71.524,
+            "pe_chrf_min": 50.876,
+            "pe_chrf_mean": 62.567,
+            "pe_chrf_std": 7.269,
+            "pe_ter_max": 63.158,
+            "pe_ter_min": 23.529,
+            "pe_ter_mean": 42.397,
+            "pe_ter_std": 12.965,
+            "pe_comet_max": 0.903,
+            "pe_comet_min": 0.768,
+            "pe_comet_mean": 0.86,
+            "pe_comet_std": 0.038,
+            "xcomet_mt": 0.945,
+            "xcomet_pe": 0.952,
+            "xcomet_mt_errors": [
+                {
+                    "text": "sciocco",
+                    "confidence": 0.499,
+                    "severity": "minor",
+                    "start": 72,
+                    "end": 80
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "voglio",
+                    "confidence": 0.591,
+                    "severity": "minor",
+                    "start": 56,
+                    "end": 63
+                }
+            ]
+        },
+        "3": {
+            "mt_bleu_max": 82.825,
+            "mt_bleu_min": 28.634,
+            "mt_bleu_mean": 59.61,
+            "mt_bleu_std": 13.046,
+            "mt_chrf_max": 90.828,
+            "mt_chrf_min": 67.066,
+            "mt_chrf_mean": 79.641,
+            "mt_chrf_std": 7.28,
+            "mt_ter_max": 66.667,
+            "mt_ter_min": 8.333,
+            "mt_ter_mean": 35.943,
+            "mt_ter_std": 14.009,
+            "mt_comet_max": 0.944,
+            "mt_comet_min": 0.799,
+            "mt_comet_mean": 0.908,
+            "mt_comet_std": 0.046,
+            "pe_bleu_max": 67.711,
+            "pe_bleu_min": 16.371,
+            "pe_bleu_mean": 42.26,
+            "pe_bleu_std": 16.11,
+            "pe_chrf_max": 73.214,
+            "pe_chrf_min": 38.348,
+            "pe_chrf_mean": 58.895,
+            "pe_chrf_std": 9.267,
+            "pe_ter_max": 64.286,
+            "pe_ter_min": 30.0,
+            "pe_ter_mean": 46.328,
+            "pe_ter_std": 9.269,
+            "pe_comet_max": 0.839,
+            "pe_comet_min": 0.747,
+            "pe_comet_mean": 0.796,
+            "pe_comet_std": 0.034,
+            "xcomet_mt": 0.999,
+            "xcomet_pe": 0.79,
+            "xcomet_mt_errors": null,
+            "xcomet_pe_errors": [
+                {
+                    "text": "Enneatipo",
+                    "confidence": 0.529,
+                    "severity": "major",
+                    "start": 0,
+                    "end": 9
+                },
+                {
+                    "text": "scherzo",
+                    "confidence": 0.654,
+                    "severity": "major",
+                    "start": 45,
+                    "end": 52
+                }
+            ]
+        },
+        "4": {
+            "mt_bleu_max": 100.0,
+            "mt_bleu_min": 46.263,
+            "mt_bleu_mean": 67.079,
+            "mt_bleu_std": 13.929,
+            "mt_chrf_max": 100.0,
+            "mt_chrf_min": 70.072,
+            "mt_chrf_mean": 82.77,
+            "mt_chrf_std": 7.752,
+            "mt_ter_max": 42.857,
+            "mt_ter_min": 0.0,
+            "mt_ter_mean": 24.723,
+            "mt_ter_std": 10.792,
+            "mt_comet_max": 0.955,
+            "mt_comet_min": 0.898,
+            "mt_comet_mean": 0.922,
+            "mt_comet_std": 0.015,
+            "pe_bleu_max": 68.113,
+            "pe_bleu_min": 44.303,
+            "pe_bleu_mean": 53.815,
+            "pe_bleu_std": 8.246,
+            "pe_chrf_max": 86.339,
+            "pe_chrf_min": 72.662,
+            "pe_chrf_mean": 77.278,
+            "pe_chrf_std": 4.491,
+            "pe_ter_max": 43.243,
+            "pe_ter_min": 21.053,
+            "pe_ter_mean": 34.261,
+            "pe_ter_std": 6.937,
+            "pe_comet_max": 0.934,
+            "pe_comet_min": 0.906,
+            "pe_comet_mean": 0.92,
+            "pe_comet_std": 0.009,
+            "xcomet_mt": 0.953,
+            "xcomet_pe": 0.978,
+            "xcomet_mt_errors": [
+                {
+                    "text": "obiettivi di",
+                    "confidence": 0.609,
+                    "severity": "minor",
+                    "start": 109,
+                    "end": 122
+                },
+                {
+                    "text": "avete capito l'essenza",
+                    "confidence": 0.585,
+                    "severity": "minor",
+                    "start": 232,
+                    "end": 255
+                }
+            ],
+            "xcomet_pe_errors": [
+                {
+                    "text": "...",
+                    "confidence": 0.537,
+                    "severity": "minor",
+                    "start": 233,
+                    "end": 236
+                },
+                {
+                    "text": "vete capito",
+                    "confidence": 0.584,
+                    "severity": "minor",
+                    "start": 237,
+                    "end": 248
+                }
+            ]
+        }
+    }
+}

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_no_highlight_t1_output.txt

@@ -0,0 +1,3 @@
+Supponiamo per ragioni di argomentazione che la scienza almeno in parte consista di elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria che possano sostenere. Anche se è vero che tali fatti esistono nella scienza è ancora possibile sostenere che i fatti scientifici sono carichi di teorie.
+I fatti scientifici derivano dagli esperimenti. Gli esperimenti non creano i fatti in questa lettura, ma la scelta di quali esperimenti condurre determina quali fatti vengono scoperti. Alcuni fatti, ad esempio sulle particelle subatomiche, possono solo derivare da esperimenti che sono realizzabili solo esclusivamente in un sistema capitalistico poiché richiedono troppe risorse, troppa organizzazione e una coercizione tali da non poter essere portati a termine in un altro modo.
+Questa è una brevissima descrizione di un argomento plausibile secondo cui le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi. Non è un argomento a favore dell'esistenza di fatti scientifici oggettivi, in cui non credo.

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_no_highlight_t2_output.txt

@@ -0,0 +1,3 @@
+Supponiamo, per amor di argomentazione, che la scienza almeno in parte consista in elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria possano sostenere. Anche se tutti tali fatti fossero veri, sarebbe ancora possibile sostenere che i fatti scientifici siano "carichi di teorie".
+I fatti scientifici derivano dagli esperimenti. In questa lettura, non sono gli esperimenti a creare i fatti, ma la scelta di quali esperimenti condurre controlla quali fatti vengono poi scoperti. Alcuni fatti, ad esempio sulle particelle subatomiche, possono solo derivare da esperimenti che sono essi stessi solo possibili in un sistema capitalistico, perché richiedono troppe risorse, troppa organizzazione e troppa coercizione per essere realizzati.
+Questo è uno schizzo molto breve di un argomento plausibile secondo cui le teorie del capitalismo che influenzano il contenuto effettivo della  scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi. Non è un argomento a favore dell'esistenza di fatti scientifici oggettivi, ai quali non credo.

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_no_highlight_t3_output.txt

@@ -0,0 +1,3 @@
+Supponiamo per ragioni di argomentazione che la scienza almeno in parte consista di elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria che possano sostenere. Anche se è vero che tali fatti esistono nella scienza è ancora possibile sostenere che i fatti scientifici sono carichi di teorie.
+I fatti scientifici derivano dagli esperimenti. Gli esperimenti non creano i fatti in questa lettura, ma la scelta di quali esperimenti condurre controlla quali fatti vengono scoperti. Alcuni fatti, ad esempio sulle particelle subatomiche, possono solo derivare da esperimenti che sono solo possibili nel capitalismo perché richiedono troppe risorse, troppa organizzazione e troppa coercizione per essere portati avanti. (n.d.r. ?? non riesco a capire il finale della frase)
+Questa è una brevissima panoramica di una discussione sul fatto che le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi. Non e' una discussione a favore dell'esistenza di fatti scientifici oggettivi, che e' una cosa nella quale non credo.

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_oracle_t1_output.txt

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+Supponiamo per ragioni di argomentazione che la scienza almeno in parte consista di elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria che possano sostenere. Anche se è vero che tali fatti esistono nella scienza è ancora possibile sostenere che i fatti scientifici sono carichi di teorie.
+I fatti scientifici derivano dagli esperimenti. Gli esperimenti non creano i fatti in questa lettura, ma la scelta di quali esperimenti condurre determina i fatti che vengono scoperti. Alcuni fatti, ad esempio relativi alle particelle subatomiche, possono solo derivare da esperimenti che sono essi stessi solo possibili nel capitalismo perché richiedono troppe risorse, troppa organizzazione, troppa coercizione.
+Questo è uno schizzo molto breve di un ragionamento plausibile sul fatto che le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi. Non si tratta di un ragionamento che supporta l'esistenza di fatti scientifici oggettivi, che non ritengo plausibile. 

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_oracle_t2_output.txt

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+Supponiamo in linea teorica che la scienza consista almeno in parte di elenchi di affermazioni oggettivamente fattuali sul mondo e vere a prescindere da qualsiasi teoria che possano sostenere. Per quanto sia vero che tali fatti esistono nella scienza,  si può comunque asserire che i fatti scientifici sono carichi di teorie.
+I fatti scientifici derivano dagli esperimenti. I secondi non creano i primi secondo questa lettura, tuttavia la scelta degli esperimenti da condurre determina quali fatti vengano scoperti. Alcuni dati, come nel caso delle particelle subatomiche, possono essere ricavati unicamente da esperimenti che siano di per sé possibili esclusivamente in un contesto capitalistico poiché la loro estrazione richiede ingenti risorse, un immane livello di organizzazione e strumenti coercitivi molto efficaci.
+Questa non è altro che la bozza di un'argomentazione plausibile in base alla quale le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi.

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_oracle_t3_output.txt

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+Supponiamo per ragioni di argomentazione che la scienza almeno in parte consista di elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria che possano sostenere. Anche se è vero che tali fatti esistono nella scienza, è comunque possibile sostenere che i fatti scientifici sono pieni di teorie.
+I fatti scientifici derivano da esperimenti, che non creano i fatti in questa lettura, ma la scelta di quali esperimenti per condurre controlli su quali fatti vengono scoperti. Alcune evidenze, ad esempio sulle particelle subatomiche, possono solo derivare da esperimenti che sono a loro volta solo possibili nel capitalismo perché richiedono troppe risorse, troppa organizzazione e troppa coercizione per essere effettuati in un altro contesto.
+Questa è una bozza molto breve di una teoria plausibile secondo cui le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con quelle che sostengono l'esistenza di fatti scientifici oggettivi. È una teoria a favore dell'esistenza di fatti scientifici oggettivi, in cui non credo.

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_supervised_t1_output.txt

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+Supponiamo, per amor di discussione, che la scienza almeno in parte consista di elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria possano sostenere. Sebbene sia vero che tali fatti esistono nella scienza, è ancora possibile sostenere che i fatti scientifici sono basati su teorie.
+I fatti scientifici derivano dagli esperimenti. Secondo tale teoria, questi ultimi non creano i fatti, ma la scelta di quali esperimenti condurre determina quali fatti vengono scoperti. Alcuni di questi, ad esempio relativi alle particelle subatomiche, possono solo derivare da esperimenti che sono essi stessi possibili unicamente nel contesto del capitalismo, poiché richiedono troppe risorse, troppa organizzazione, troppa coercizione, per emergere.
+Questo è uno accenno molto breve di un ragionamento plausibile, secondo il quale le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi. Non si tratta di un ragionamento in favore dell'esistenza di fatti scientifici oggettivi, nei quali non credo.

task/posttask/outputs/eng-ita/posttask_eng-ita_doc1_supervised_t2_output.txt

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+Supponiamo, a titolo di esempio, che la scienza consista, almeno in parte, in elenchi di affermazioni oggettivamente fattuali sul mondo, vere a prescindere da qualsiasi teoria che potrebbero sostenere. Anche se è vero che tali fatti esistono nella scienza, è comunque possibile sostenere che i fatti scientifici sono carichi di teorie.
+I fatti scientifici derivano dagli esperimenti. In questa lettura, non sono gli esperimenti a creare i fatti, ma la scelta di quali esperimenti condurre controlla quali fatti vengono scoperti. Alcuni fatti, ad esempio sulle particelle subatomiche, possono solo derivare da esperimenti che sono possibili solo nel capitalismo perché richiedono troppe risorse, troppa organizzazione e troppa coercizione, per essere realizzati altrimenti.
+Questo è uno schema molto breve di un argomento plausibile secondo cui le teorie del capitalismo che influenzano il contenuto effettivo della scienza sono coerenti con le teorie che affermano l'esistenza di fatti scientifici oggettivi. Non è un argomento a favore dell'esistenza di fatti scientifici oggettivi, in cui non credo.