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Urdu to English Translation

Urdu to English translation model is a Transformer model trained on IWSLT back-translated data using Faireq. This model is produced during the experimentation related to building Context-Aware NMT models for low-resourced languages such as Urdu, Hindi, Sindhi, Pashtu and Punjabi. This particular model does not contains any contextual information and it is baseline sentence-level transformer model. The evaluation is done on WMT2017 standard test set.

  • source group: English

  • target group: Urdu

  • model: transformer

  • Contextual

  • Test Set: WMT2017

  • pre-processing: Moses + Indic Tokenizer

  • Dataset + Libray Details: DLNMT

Benchmarks

testset BLEU
Wmt2017 50.03

How to use model?

  • This model can be accessed via git clone:
    git clone https://huggingface.co/samiulhaq/iwslt-bt-en-ur
    
  • 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)
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