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
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.