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Neural machine translation: Challenges, progress and future
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DOI：10.1007/s11431-020-1632-x.png)
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Machine translation (MT) is a technique that leverages computers to translate human languages automatically. Nowadays, neural machine translation (NMT) which models direct mapping between source and target languages with deep neural networks has achieved a big breakthrough in translation performance and become the de facto paradigm of MT. This article makes a review of NMT framework, discusses the challenges in NMT, introduces some exciting recent progresses and finally looks forward to some potential future research trends.
Keyword:
neural machine translation
Transformer
multimodal translation
low-resource translation
document translation
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