readme: ---
  license: cc-by-sa-4.0
  
  language: 
  - de
  - en
  - es
  - fr
  - it
  - ja
  - ru
  - uk
  
  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
  