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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 681–690 of 1773 papers

TitleStatusHype
Continual Learning in Multilingual NMT via Language-Specific Embeddings—0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?—0
A Two-Stage Curriculum Training Framework for NMT—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
How Much Does Tokenization Affect Neural Machine Translation?—0
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus—0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation—0
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task—0
Exploiting Deep Representations for Neural Machine Translation—0
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