transformers pytorch marian text2text-generation translation de en es fr it ja ru uk multilingual license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
---
language:
- de
- en
- es
- fr
- it
- ja
- ru
- uk
- multilingual
license: cc-by-sa-4.0
tags:
- translation
---

# TakoMT

This is a translation model using Marian-NMT.
For more details, please see [my repository](https://github.com/s-taka/fugumt).

In addition to the data listed in the repository I also used [ParaCrawl](https://paracrawl.eu/).

* source languages: de, en, es, fr, it, ru, uk 
* target language: ja 


### How to use

This model uses transformers and sentencepiece.
```python
!pip install transformers sentencepiece
```

You can use this model directly with a pipeline:

```python
from transformers import pipeline
tako_translator = pipeline('translation', model='staka/takomt')
tako_translator('This is a cat.')
```

### Eval results

The results of the evaluation using [tatoeba](https://tatoeba.org/ja)(randomly selected 500 sentences) are as follows:

|source |target |BLEU(*1)| 
|-------|-------|--------|
|de     |ja     |27.8    |
|en     |ja     |28.4    |
|es     |ja     |32.0    |
|fr     |ja     |27.9    |
|it     |ja     |24.3    |
|ru     |ja     |27.3    |
|uk     |ja     |29.8    |


(*1) sacrebleu --tokenize ja-mecab
