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Low-Resource Neural Machine Translation

1 papers with code · Natural Language Processing
Subtask of Machine Translation

Low-resource machine translation is the task of machine translation on a low-resource language where large data may not be available.

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Greatest papers with code

Transfer Learning for Low-Resource Neural Machine Translation

EMNLP 2016 isi-nlp/Zoph_RNN

Ensembling and unknown word replacement add another 2 Bleu which brings the NMT performance on low-resource machine translation close to a strong syntax based machine translation (SBMT) system, exceeding its performance on one language pair. Additionally, using the transfer learning model for re-scoring, we can improve the SBMT system by an average of 1.3 Bleu, improving the state-of-the-art on low-resource machine translation.