SLPG/Biomedical_French_to_English

Biomedical French to English Neural Machine Translation

Source language: fr
Target language: en
Training dataset: WMT20, Cochrane bilingual parallel corpus, Taus Corona Crisis corpus, Mlia Covid corpus
Development set: Medline 18, Medline 19
Test set: Medline 20
Model: transformer
Pre-processing: SentencePiece

Benchmark

Test set	BLEU
Medline20	35.8

How to use this Model?

• This model can be accessed via git clone:

  git clone https://huggingface.co/SLPG/Biomedical_French_to_English
  

• You can use Fairseq library to access the model for translations:

  from fairseq.models.transformer import TransformerModel
  

• Load the model

  model = TransformerModel.from_pretrained('path/to/model')
  

• Set the model to evaluation mode

  model.eval()
  

• Perform inference

  input_text = 'Hello, how are you?'
  output_text = model.translate(input_text)
  print(output_text)
  

Citation

If you use our model, kindly cite our paper:

  @inproceedings{xu2021lisn,
  title={LISN@ WMT 2021},
  author={Xu, Jitao and Rauf, Sadaf Abdul and Pham, Minh Quang and Yvon, Fran{\c{c}}ois},
  booktitle={6th Conference on Statistical Machine Translation},
  year={2021}
  }