Biomedical_French_to_English

Biomedical French to English Neural Machine Translation

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

Benchmark

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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}
  }