iwslt-bt-ur-en

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

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)