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AI4D Yorùbá Machine Translation Challenge

Helping Nigeria
$2 000 USD
Completed (almost 5 years ago)
Machine Translation
683 joined
84 active
Starti
Dec 04, 20
Closei
May 30, 21
Reveali
May 30, 21
19th Place solution
Notebooks · 18 Jun 2021, 07:45 · 0

Using simple transformer seq2seq I have downloaded Helsinki-NLP/opus-mt-mul-en which work best in our case and using specific Seq2SeqArgs to set arguments of model.

Args

  • num_train_epochs = 35
  • batch_size = 32
  • max_length = 120
  • src_lang ="yor"
  • tgt_lang ="en_XX"

https://github.com/kingabzpro/Yoruba-Machine-Translation

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