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1 | pyarabic | https://github.com/linuxscout/pyarabic | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/pyarabic.ipynb | Yes | Free | Anonymous | unknown | 0.6.14 | A specific Arabic language library for Python, provides basic functions to manipulate Arabic letters and text, like detecting Arabic letters, Arabic letters groups and characteristics, remove diacritics etc. | nan | nan | 2,010 | Preprocessing | Classical, MSA, Dialectal | Package | CLI | Python | Zaid Alyafeai | nan |
2 | AraVec 3.0 | https://github.com/bakrianoo/aravec | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Aravec_3_0.ipynb | Yes | Free | Anonymous | unknown | 3 | AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models. The first version of AraVec provides six different word embedding models built on top of three different Arabic content domains; Tweets and Wikipedia This paper describes the resources used for building the models, the employed data cleaning techniques, the carried out preprocessing step, as well as the details of the employed word embedding creation techniques. | AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP | https://www.sciencedirect.com/science/article/pii/S1877050917321749 | 2,018 | Embeddings | MSA, Dialectal | Plain Code | CLI | Python | Zaid Alyafeai | nan |
3 | tkseem | https://github.com/ARBML/tkseem | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/tkseem.ipynb | Yes | Free | Anonymous | MIT License | 0.0.3 | tkseem (تقسيم) is a tokenization library that encapsulates different approaches for tokenization and preprocessing of Arabic text. | EVALUATING VARIOUS TOKENIZERS FOR ARABIC TEXT CLASSIFICATION | https://arxiv.org/pdf/2106.07540.pdf | 2,020 | Tokenization | Classical, MSA, Dialectal , Multilingual | Package | CLI | Python | Zaid Alyafeai | 16,88,2 |
4 | Turjuman | https://github.com/UBC-NLP/turjuman | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Turjuman.ipynb | Yes | Free | Anonymous | Apache-2.0 | 1.0.5 | Turjuman is a neural machine translation toolkit. It translates from 20 languages into Modern Standard Arabic (MSA). Turjuman is described in this paper: TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation. | TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation | https://arxiv.org/pdf/2206.03933.pdf | 2,022 | Translation | Classical, MSA, Dialectal , Multilingual | Package | CLI | Python | Zaid Alyafeai | 49 |
5 | AraT5 | https://github.com/UBC-NLP/araT5 | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/AraT5.ipynb | Yes | Free | Anonymous | unknown | nan | Text-to-Text Transformers for Arabic Language Generation | AraT5: Text-to-Text Transformers for Arabic Language Generation | https://arxiv.org/pdf/2109.12068.pdf | 2,022 | Machine Translation,Summarization,Generation,Paraphrasing,Transliteration | Classical, MSA, Dialectal , Multilingual | Plain Code | CLI | Python | Zaid Alyafeai | 49,235,12,325,44,149,157,75,112,229,92,93, |
6 | Tashaphyne | https://github.com/linuxscout/tashaphyne | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Tashaphyne.ipynb | Yes | Free | Anonymous | GPL-2.0 | 0.3.6 | Tashaphyne is an Arabic light stemmer and segmentor | nan | nan | 2,012 | Stemming, Segmentation, Normalization | Classical, MSA | Demo, Package | CLI | Python | Jezia Zakraoui | nan |
7 | Alyahmor | https://github.com/linuxscout/alyahmor/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Alyahmor.ipynb | Yes | Free | Anonymous | GPL-2.0 | 0.1.5 | Arabic flexionnal morphology generator | nan | nan | 2,020 | Morphological analysis, Morphological disambiguation | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
8 | araugment | https://github.com/ashaheedq/araugment | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/araugment.ipynb | Yes | Free | Anonymous | MIT License | 1.0.0 | Augment Arabic data for deep learning tasks | nan | nan | 2,021 | Back Translation, Marcov Chains | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
9 | Aaransia | https://github.com/3aransia/3aransia | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/aaransia.ipynb | Yes | Free | Anonymous | Apache-2.0 | 1.1 | This tool can be used to transliterate languages and dialects. | nan | nan | 2,020 | Transliteration | Classical, MSA, Dialectal , Multilingual | Package, API | CLI, GUI | Python | Abderrahmane Issam | nan |
10 | CAMeL Tools | https://github.com/CAMeL-Lab/camel_tools | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/CAMeL_Tools.ipynb | Yes | Free | Anonymous | MIT License | 1.4.1 | CAMeL Tools is a suite of Arabic natural language processing tools | CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing | https://aclanthology.org/2020.lrec-1.868/ | 2,020 | Tokenization, Stemming, Lemmatization, Part of Speech Tagging, Named Entity Recognition, Morphological analysis, Morphological disambiguation, Dialect Identification, Diacritization | Classical, MSA, Dialectal | Package, API | CLI | Python | Abderrahmane Issam | 142, 85, 196, 46, 12, 313 |
11 | AraBERTv2 | https://github.com/aub-mind/araBERT#AraBERT | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/AraBERTv2.ipynb | Yes | Free | Anonymous | unknown | 1.0.1 | We identified an issue with AraBERTv1's wordpiece vocabulary. The issue came from punctuations and numbers that were still attached to words when we trained the wordpiece vocab. We now insert a space between numbers and characters and around punctuation characters. | AraBERT: Transformer-based Model for Arabic Language Understanding | https://aclanthology.org/2020.osact-1.2.pdf | 2,020 | Language Model | Classical, MSA, Dialectal , Multilingual | Package | CLI | Python | Zaid Alyafeai | 13,85,589,16,2,104,75 |
12 | AraGPTv2 | https://github.com/aub-mind/araBERT#AraGPT2 | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/AraGPTv2.ipynb | Yes | Free | Anonymous | unknown | 1.0.1 | Pre-Trained Transformer for Arabic Language Generation | ARAGPT2: Pre-Trained Transformer for Arabic Language Generation | https://aclanthology.org/2021.wanlp-1.21.pdf | 2,021 | Language Model | Classical, MSA, Dialectal , Multilingual | Package | CLI | Python | Zaid Alyafeai | 93,75,119 |
13 | palmyra | https://camel-lab.github.io/palmyra/viewtree.html | nan | Yes | Free | Anonymous | unknown | 2.4 | PALMYRA is a configurable platform independent graphical dependency tree visualization and editing software. PALMYRA has been designed with morphologically
rich languages in mind, and thus has a number of features to support the complexities of these languages, especially for supporting easy change of
morphological tokenization through edits, additions, deletions and splits/merges of words. It can also be used to annotate a multitude of linguistic
features. PALMYRA uses an intuitive drag-and-drop metaphor for editing tree structures. Palmyra can be configured to be used with any dependency
representation. | PALMYRA 2.0: A Configurable Multilingual Platform Independent Tool for Morphology and Syntax Annotation | https://aclanthology.org/2020.udw-1.19.pdf | 2,020 | Morphological analysis | Classical, MSA, Dialectal | Demo | GUI | Python | Zaid Alyafeai | nan |
14 | ADIDA | https://adida.abudhabi.nyu.edu/#/ | nan | No | Free | Anonymous | unknown | nan | The system is able to distinguish amongst 25 cities (from Rabat to Muscat) in addition to Modern Standard Arabic.
To use the demo enter text in Standard or Dialectal . The cities and regions that our system identifies will be lit up. | ADIDA: Automatic Dialect Identification for Arabic | https://aclanthology.org/N19-4002.pdf | 2,019 | Dialect Identification | Dialectal | Demo | GUI | Python | Zaid Alyafeai | 12 |
15 | farasapy | https://github.com/MagedSaeed/farasapy | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/farasapy.ipynb | Yes | Free | Anonymous | MIT License | nan | Farasa is an Arabic NLP toolkit serving the following tasks: Segmentation, Stemming, NER, PoS tagging and Diacritization. | Farasa: A Fast and Furious Segmenter for Arabic | https://aclanthology.org/N16-3003.pdf | 2,016 | Tokenization, Stemming, Diacritization, Part of Speech Tagging, Named Entity Recognition, Lemmatization | Classical, MSA, Dialectal | Demo, Package, API | CLI, GUI | Python | Zaid Alyafeai | nan |
16 | Mazajak | http://mazajak.inf.ed.ac.uk:8000 | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Mazajak.ipynb | No | Free | Anonymous | MIT License | nan | Mazajak is an online system/analyzer for Arabic Sentiment Analysis. | Mazajak: An Online Arabic Sentiment Analyser | https://aclanthology.org/W19-4621.pdf | 2,019 | Sentiment Analyzer, Sentiment Analysis | MSA | Demo, API | GUI | Python | Saied Alshahrani | 85, 196 |
17 | GloVe-Arabic | https://github.com/tarekeldeeb/GloVe-Arabic | nan | Yes | Free | nan | Apache-2.0 | nan | GloVe word embeddings for arabic | nan | nan | 2,018 | Morphological analysis, Language Model | Classical, MSA, Dialectal | Package, Plain Code | CLI | Python | Nour Fahmy | nan |
18 | Qalsadi | https://pypi.org/project/qalsadi/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Qalsadi.ipynb | Yes | Free | Anonymous | GPL-2.0 | 0.4.5 | Qalsadi is an Arabic Morphological Analyzer and lemmatizer for Python | nan | nan | 2,012 | Lemmatization, Morphological analysis | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
19 | AraELECTRA | https://huggingface.co/aubmindlab/araelectra-base-generator | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/AraELECTRA.ipynb | Yes | Free | Anonymous | unknown | 1.0.0 | It's a pretrained ELECTRA model for Arabic and can be finetuned for multiple tasks. | ARAELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding | https://arxiv.org/abs/2012.15516 | 2,021 | Language Model | Classical, MSA, Dialectal | Package | CLI | Python | Abderrahmane Issam | 93, 75, 589, 46 |
20 | ADIDA | https://adida.abudhabi.nyu.edu/#/ | nan | No | Free | Anonymous | CC BY 4.0 | nan | Tool for fine grained Arabic dialect detection | Fine-Grained Arabic Dialect Identification | https://aclanthology.org/C18-1113.pdf | 2,018 | Morphological analysis, Language Model, Dialect Identification | MSA, Dialectal | unclear | GUI | nan | Nour Fahmy | 12 |
21 | Naftawayh | https://pypi.org/project/Naftawayh/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Naftawayh.ipynb | Yes | Free | Anonymous | GPL-2.0 | 0.4 | Arabic word tagging (word classification) into types (nouns, verbs, stopwords) | nan | nan | 2,010 | Word tagging | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
22 | Stanza | https://stanfordnlp.github.io/stanza/index.html | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Stanza_Demo.ipynb | Yes | Free | Anonymous | Apache-2.0 | 1.4.2 | Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. | Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. | https://arxiv.org/abs/2003.07082 | 2,020 | Lemmatization, Part of Speech Tagging, Dependency Parsing, Named Entity Recognition | MSA, Multilingual | Demo, Package | CLI | Python | Emad A. Alghamdi | nan |
23 | ANLTK | https://github.com/Abdullah-AlAttar/anltk | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/ANLTK.ipynb | Yes | Free | Anonymous | unknown | 1.0.0 | ANLTK is a set of Arabic natural language processing tools. developed with focus on simplicity and performance | nan | nan | 2,021 | Transliteration, Preprocessing | Classical, MSA, Dialectal | Package | CLI | Python, C++ | Jezia Zakraoui | nan |
24 | Shaheen | https://mt.qcri.org/api/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Shaheen.ipynb | Yes | Free | Requires authentication | unknown | nan | Shaheen is a QCRI Machine Translation Systems | QCRI Machine Translation Systems for IWSLT 16 | https://fdalvi.github.io/research/2016-12-IWSLT/paper.pdf | 2,016 | Machine Translation | MSA, Dialectal , Multilingual | Demo, API | GUI | Python, Javascript | Saied Alshahrani | 49, 235 |
25 | Maha | https://maha.readthedocs.io/en/stable/overview.html | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Maha.ipynb | Yes | Free | Anonymous | BSD | 0.3.0 | Maha is a text processing library specially developed to deal with Arabic text | nan | nan | 2,021 | Parser, Preprocessing | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
26 | Tashkeel | https://rdi-tashkeel.com/en/home | nan | No | Paid | Anonymous | unknown | nan | Tashkeel is a text processing technology that uses an automatic diacritization engine to provide accurate diacritization for Arabic text. | nan | nan | 2,022 | Diacritization | MSA | Demo | GUI | nan | Saied Alshahrani | nan |
27 | NatiQ | https://tts.qcri.org/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/NatiQ.ipynb | No | Free | Anonymous | unknown | nan | atiQ is end-to-end text-to-speech system for Arabic. | NatiQ: An End-to-end Text-to-Speech System for Arabic | https://arxiv.org/abs/2206.07373 | 2,022 | Text to Speech | Classical, MSA, Dialectal | Demo, API | CLI, GUI | JavaScript, NodeJS, MongoDB | Jezia Zakraoui | 31,32 |
28 | Adida | https://adida.abudhabi.nyu.edu/#/ | nan | No | Free | Anonymous | unknown | nan | A demo interface for MADAR dialect identification system | ADIDA: Automatic Dialect Identification for Arabic | https://aclanthology.org/N19-4002/ | 2,019 | Dialect Identification | Classical, MSA, Dialectal | Demo | GUI | Python | Abderrahmane Issam | 12 |
29 | GloVe-Arabic | https://github.com/tarekeldeeb/GloVe-Arabic | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/GloVe_Arabic.ipynb | Yes | Free | Anonymous | Apache-2.0 | 1.2 | GloVe: Global Vectors for Word Representation/Embeddings for Arabic | GloVe: Global Vectors for Word Representation | https://nlp.stanford.edu/pubs/glove.pdf | 2,014 | Morphological analysis, Dictionary, Language Model | Classical, MSA, Dialectal | Package, Plain Code | CLI | Python | Saied Alshahrani | 167, 49, 370, 239, 29, 243 |
30 | Dalila | https://github.com/NYUAD-Hackathon/dalila | nan | Yes | Free | Anonymous | unknown | nan | Dalila is a Chrome extension that utilizes cutting edge natural language processing (NLP) research to help learners of Arabic and Arabic dialects by providing dialectal word analysis and definitions. | DALILA: The Dialectal Linguistic Learning Assistant | https://aclanthology.org/L16-1175.pdf | 2,016 | Part of Speech Tagging, Diacritization | Classical, MSA, Dialectal | Extension | GUI | JavaScript | Zaid Alyafeai | nan |
31 | ALUE Benchmark | https://github.com/Alue-Benchmark/alue_baselines | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/ALUE_Benchmark.ipynb | Yes | Free | Anonymous | MIT License | nan | ALUE: an Arabic benchmark for multi-task learning, similar to the GLUE benchmark. | ALUE: Arabic Language Understanding Evaluation | https://aclanthology.org/2021.wanlp-1.18.pdf | 2,019 | Benchmark | Classical, MSA, Dialectal , Multilingual | API | CLI | Python | Saied Alshahrani | nan |
32 | MADAMIRA | https://camel.abudhabi.nyu.edu/madamira/ | nan | No | Free | Anonymous | custom | 2019-6 | A system for morphological analysis and disambiguation of Arabic. | MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic | http://www.lrec-conf.org/proceedings/lrec2014/pdf/593_Paper.pdf | 2,014 | Tokenization, Stemming, Lemmatization, Part of Speech Tagging, Named Entity Recognition, Morphological analysis | MSA, Dialectal | Demo | GUI | Python, Java, Purl | Hamzah Luqman | 475, 427 |
33 | Seq2seq Diacritization | https://farasa.qcri.org/seq2seq_diacritization/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Seq2seq_Diacritization.ipynb | No | Free | Requires authentication | unknown | nan | A unified character level sequence-to-sequence deep learning model that recovers both types of diacritics. | Highly Effective Arabic Diacritization using Sequence to Sequence Modeling | https://farasa.qcri.org/seq2seq_diacritization/ | 2,019 | Diacritization | Classical, MSA | Demo, API | CLI, GUI | Java | Jezia Zakraoui | nan |
34 | Qutrub | https://qutrub.arabeyes.org/ | nan | Yes | Free | Anonymous | unknown | 1.2.4 | Arabic verb conjugation tool | nan | nan | 2,009 | Part of Speech Tagging, Dependency Parsing, Morphological analysis | MSA | Demo, Plain Code | CLI, GUI | Python | Maraim Masoud | nan |
35 | Spell Check | https://farasa.qcri.org/spellcheck/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Spell_Check.ipynb | Yes | Free | Requires authentication | unknown | nan | Arabic Spell Checker | nan | nan | 2,020 | Spell Checking | MSA | Demo, API | CLI, GUI | Java | Jezia Zakraoui | nan |
36 | DiaLex | https://colab.research.google.com/drive/154at3w8mTBX16nMu4czmtrEodmQ2oVNk?usp=sharing | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/DiaLex.ipynb | Yes | Free | Anonymous | unknown | nan | a benchmark for intrinsic evaluation of Dialectal word embeddings. | DiaLex: A Benchmark for Evaluating MultiDialectal Word Embeddings | https://aclanthology.org/2021.wanlp-1.2.pdf | 2,021 | Embeddings | Dialectal | Plain Code | CLI | Python | Zaid Alyafeai | 211 |
37 | MADAMIRA-Online Demo | https://camel.abudhabi.nyu.edu/madamira/ | nan | No | Free | Anonymous | unknown | nan | A system for morphological analysis and disambiguation of Arabic that combines some of the best aspects of two previously commonly used systems for Arabic processing, MADA and AMIRA | MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic | http://www.lrec-conf.org/proceedings/lrec2014/pdf/593_Paper.pdf | 2,014 | Tokenization, Lemmatization, Part of Speech Tagging, Named Entity Recognition, Baes Phrases | Classical, Dialectal | Demo | GUI | HTML,JavaScript | Emad A. Alghamdi | nan |
38 | Tashaphyne | https://pypi.org/project/Tashaphyne/ | nan | Yes | Free | Anonymous | GPL-2.0 | 0.3.6 | Arabic light stemmer and segmentor. It mainly supports light stemming (removing prefixes and suffixes) and give all possible segmentations. It use a modified finite state Automaton which allow to generate all segmentations. | nan | nan | 2,012 | Stemming | MSA | Package, API | CLI | Python | Maraim Masoud | nan |
39 | Arapy | https://github.com/jordanking/arapy | nan | Yes | Free | Anonymous | unknown | nan | A library for Arabic text processing that contain multiple NLP tools. | nan | nan | 2,015 | Tokenization, Stemming, Lemmatization, Part of Speech Tagging, Dependency Parsing, Named Entity Recognition, Morphological analysis | MSA | Plain Code | CLI | Python | Maraim Masoud | nan |
40 | CALIMA Star Analyzer | https://calimastar.abudhabi.nyu.edu/analyzer/ | nan | No | Free | Anonymous | unknown | nan | CALIMA Star is an Arabic morphological analyzer and generator. The analyzer mode determines all the possible out-of-context combinations of lemmas, morphological features, and diacritizations for undiacritized surface words. | An Arabic Morphological Analyzer and Generator with Copious Features | https://calimastar.abudhabi.nyu.edu/static/CalimaStar.pdf | 2,018 | Morphological analysis | Classical, MSA, Dialectal | Demo | GUI | Python | Abderrahmane Issam | 313 |
41 | Farspeech | https://farspeech.qcri.org/ | nan | No | Free | Anonymous | unknown | 1 | It features modern web technologies to capture live audio, transcribes Arabic audio, NLP processes the transcripts, and identifies the dialect of the speaker. | FarSpeech: Arabic Natural Language Processing for Live Arabic Speech | https://lt4all.elra.info/proceedings/lt4all2019/pdf/2019.lt4all-1.11.pdf | 2,019 | Tokenization, Part of Speech Tagging, Named Entity Recognition, Dialect speech recognition | Dialectal | Demo | GUI | nan | Hamzah Luqman | nan |
42 | NER | https://farasa.qcri.org/NER/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/NER.ipynb | No | Free | Requires authentication | unknown | nan | Named entity recognition | nan | nan | 2,020 | Named Entity Recognition | Classical, MSA | Demo, API, Plain Code | CLI, GUI | Java | Jezia Zakraoui | nan |
43 | CALIMA-GLF | https://camel.abudhabi.nyu.edu/gumar/?page=table_gulf_verbs&lang=en | nan | No | Free | Requires authentication | unknown | nan | CALIMA-GLF: A Morphological Analyzer for Gulf Arabic Verbs | Salam Khalifa, Sara Hassan, and Nizar Habash: A Morphological Analyzer for Gulf Arabic Verbs. In Proceedings of the Workshop of Arabic NLP (WANLP) 2017 (co-located with EACL 2017), Valencia, Spain, 2017. | nan | 2,017 | Morphological analysis | Dialectal | Demo | CLI, GUI | nan | Maraim Masoud | nan |
44 | klaam | https://github.com/ARBML/klaam | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/klaam.ipynb | Yes | Free | Anonymous | MIT License | nan | Arabic speech recognition, classification and text-to-speech using many advanced models like wave2vec and fastspeech2. | nan | nan | 2,021 | Speech Recognition, Speech Classification, Text to Speech | Classical, MSA, Dialectal | Package | CLI | Python | Abderrahmane Issam | 31, 33, 17, 91 |
45 | AIDArabic | https://github.com/mhmgad/AIDArabic | nan | Yes | Free | Anonymous | unknown | nan | AIDArabic extends the existing AIDA system by additional components
that allow the disambiguation of Arabic texts based on an automatically generated
knowledge base distilled from Wikipediaز | AIDArabic A Named-Entity Disambiguation Framework for Arabic Text | https://aclanthology.org/W14-3626.pdf | 2,014 | Word Sense Disambiguation | MSA | Plain Code | CLI | Java | Hamzah Luqman | nan |
46 | AlKhalil-Lemmatizer | http://oujda-nlp-team.net/2022/04/27/alkhalil-lemmatizer/ | nan | No | Free | Requires authentication | unknown | nan | Alkhalil Lemmatizer assigns to each word of an Arabic sentence, a single lemma taking into account the word context. | A hybrid approach for Arabic lemmatization | https://link.springer.com/article/10.1007/s10772-018-9528-3 | 2,019 | Lemmatization | Classical, MSA, Dialectal | Package | CLI | Java | Abderrahmane Issam | nan |
47 | AlKhalil-Stemmer | http://oujda-nlp-team.net/2022/04/27/alkhalil-stemmer/ | nan | No | Free | Requires authentication | unknown | nan | Efficient heavy/light stemmer developed based on the interaction between roots and patterns. The stemmer provides three different outputs: individual root, a stem, and a combination of stem/root. | Developing and performance evaluation of a new Arabic heavy/light stemmer | https://dl.acm.org/doi/10.1145/3090354.3090371 | 2,017 | Stemming | Classical, MSA | Package | CLI | Java | Abderrahmane Issam | 343, 373 |
48 | ArbEngVec | https://github.com/Raki22/ArbEngVec | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/ArbEngVec.ipynb | Yes | Free | Anonymous | unknown | nan | ArbEngVec is an Arabic-English Cross-Lingual Word Embedding Model | ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model | https://aclanthology.org/W19-4605.pdf | 2,019 | Word Sense Disambiguation, Language Model, Embeddings | Classical, MSA, Dialectal , Multilingual | Demo, API, Plain Code | CLI | Python | Saied Alshahrani | 231, 159, 262, 118, 233, 49, 239, 235, 260, 238, 308 |
49 | Python Arabic Reshaper | https://github.com/mpcabd/python-arabic-reshaper | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Python_Arabic_Reshaper.ipynb | Yes | Free | Anonymous | MIT License | 2.1.4 | Reconstruct Arabic sentences to be used in applications that don't support Arabic script. | nan | nan | 2,019 | Preprocessing | Classical, MSA, Dialectal | Package | CLI | Python | Zaid Alyafeai | nan |
50 | Assem's Arabic Stemmer | https://arabicstemmer.com/ | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Assem's_Arabic_Stemmer.ipynb | Yes | Free | Anonymous | BSD | 1.1.0 | This is an algorithm for Arabic stemming written on Snowball framework language. If offers light stemming and text normalization. | nan | nan | 2,016 | Stemming | Classical, MSA, Dialectal | Demo, Plain Code | CLI, GUI | Python | Zaid Alyafeai | nan |
51 | mishkal | https://github.com/linuxscout/mishkal | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/mishkal.ipynb | Yes | Free | Anonymous | GPL-2.0 | nan | Mishkal Arabic text vocalization software | Towards An Open Platform For Arabic Language Processing | https://www.researchgate.net/publication/342673690_Towards_An_Open_Platform_For_Arabic_Language_Processing | 2,016 | Diacritization | Classical, MSA, Dialectal | Package | CLI, GUI | Python | Zaid Alyafeai | nan |
52 | Arabic Tacotron TTS | https://github.com/youssefsharief/arabic-tacotron-tts | nan | Yes | Free | Anonymous | MIT License | nan | An implementation of Tacotron speech synthesis in TensorFlow for Arabic. | nan | nan | 2,017 | Text to Speech | MSA | Plain Code | CLI | Python | Zaid Alyafeai | nan |
53 | Pre-process Arabic Text | https://github.com/motazsaad/process-arabic-text | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Pre_process_Arabic_Text.ipynb | Yes | Free | Anonymous | LGPL-3.0 | nan | Pre-process arabic text (remove diacritics, punctuations, and repeating characters)
| nan | nan | 2,016 | Preprocessing | Classical, MSA, Dialectal | Plain Code | CLI | Python | Zaid Alyafeai | nan |
54 | English-to-arabic-transphonator | https://github.com/AMR-KELEG/English-to-arabic-transphonator | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/English_to_arabic_transphonator.ipynb | Yes | Free | Anonymous | GPL-2.0 | nan | Transliterate English words into Arabic using phonemes | nan | nan | 2,021 | Transliteration | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
55 | SOQAL | https://github.com/husseinmozannar/SOQAL | nan | Yes | Free | Anonymous | MIT License | nan | SOQL is a system for open domain question answering in Arabic | Neural Arabic Question Answering | https://arxiv.org/abs/1906.05394 | 2,020 | Question answering | Classical, MSA | Demo, Package | GUI | Python, CSS, HTML | Jezia Zakraoui | 75,229 |
56 | Qutuf | https://github.com/Qutuf/Qutuf | nan | Yes | Free | Anonymous | unknown | 2 | An Arabic Morphological Analyzer (Including Stemming and Root Extraction) and Part-Of-Speech Tagger as an Expert System. | Arabic Morphological Analyzer (with Stemmer) and Part-Of-Speech Tagger. The Core of a Framework for Arabic Language Processing as an Expert System | https://www.academia.edu/8222523/Arabic_Morphological_Analyzer_with_Stemmer_and_Part-Of-Speech_Tagger._The_Core_of_a_Framework_for_Arabic_Language_Processing_as_an_Expert_System | 2,017 | Stemming, Part of Speech Tagging, Morphological analysis | MSA | Demo, API | CLI, GUI | Python | Zaid Alyafeai | nan |
57 | goarabic | https://github.com/01walid/goarabic | nan | Yes | Free | Anonymous | MIT License | 0.0.1 | A Go Lang package for dealing with Arabic text. | nan | nan | 2,015 | Preprocessing | Classical, MSA, Dialectal | Plain Code | CLI | Go | Zaid Alyafeai | nan |
58 | textblob-ar | https://github.com/adhaamehab/textblob-ar | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/textblob_ar.ipynb | Yes | Free | Anonymous | MIT License | 0.0.1 | Arabic language support for https://textblob.readthedocs.io/en/dev/ | nan | nan | 2,017 | Tokenization, Part of Speech Tagging, Sentiment Analysis, Text Similarity, Spelling Correction | MSA | Plain Code | CLI | Python | Zaid Alyafeai | nan |
59 | Arabycia | https://github.com/mohabmes/Arabycia | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/Arabycia.ipynb | Yes | Free | Anonymous | unknown | nan | Arabic NLP tool Built using NLTK, Pyaramorph, and Sinai-corpus to perform: Tokenization ,Lemmatization, Segmentation,Transliteration,Reverse Transliteration,Sentence diacritization,Text Search,POS tagging,Translation,Find ambiguity | nan | nan | 2,010 | Tokenization, Lemmatization, Part of Speech Tagging, Segmentation,Transliteration,Reverse Transliteration, Diacritization,Text Search,Translation,Find ambiguity | MSA | Plain Code | CLI | Java | Zaid Alyafeai | nan |
60 | shakkelha | https://github.com/AliOsm/shakkelha | nan | Yes | Free | Anonymous | MIT License | nan | Arabic Text Diacritization | Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation | https://aclanthology.org/D19-5229.pdf | 2,019 | Diacritization | Classical, MSA | Plain Code | CLI | Python | Zaid Alyafeai | 29 |
61 | ar-embeddings | https://github.com/iamaziz/ar-embeddings | nan | Yes | Free | Anonymous | unknown | nan | Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec | Word Embeddings for Arabic Sentiment Analysis | https://ieeexplore.ieee.org/abstract/document/7841054 | 2,016 | Sentiment analysis, Word embedding | Classical, MSA | Package | CLI | Python | Jezia Zakraoui | nan |
62 | AlKhalil-RootExtractor | http://oujda-nlp-team.net/2022/04/27/alkhalil-rootextractor/ | nan | No | Free | Requires authentication | unknown | nan | Alkhalil root extractor provides the root of each word of a given sentence. | Improving the Arabic root extraction by using the quadratic splines | https://ieeexplore.ieee.org/document/8354062/ | 2,018 | Stemming | Classical, MSA | Package | CLI | Java | Abderrahmane Issam | nan |
63 | DziriBERT | https://huggingface.co/alger-ia/dziribert | https://colab.research.google.com/github/ARBML/adawat/blob/main/notebooks/dziribert.ipynb | Yes | Free | Anonymous | Apache-2.0 | nan | A pretrained BERT model for the Algerian dialect | DziriBERT: a Pre-trained Language Model for the Algerian Dialect | https://arxiv.org/pdf/2109.12346.pdf | 2,021 | Language Model | Dialectal | Package | CLI | Python | Abderrahmane Issam | nan |
64 | Wojood | https://ontology.birzeit.edu/Wojood/ | nan | No | Free | nan | unknown | 1 | Wojood consists of about 550K tokens (MSA and dialect) that are manually annotated with 21 entity types (e.g., person, organization, location, event, date, etc). It covers multiple domains and was annotated with nested entities. The corpus contains about 75K entities and 22.5% of which are nested. A nested Named Entity Recognition model based on BERT was trained (F1-score 88.4%). | Mustafa Jarrar, Mohammed Khalilia, Sana Ghanem: Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT. In Proceedings of the International Conference on Language Resources and Evaluation (LREC 2022), Marseille, France. 2022 | https://aclanthology.org/2022.lrec-1.387/ | 2,022 | Named Entity Recognition | MSA | Demo | CLI, GUI | Python | Emad A. Alghamdi | 237 |
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