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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 1511–1520 of 1773 papers

TitleStatusHype
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Deconvolution-Based Global Decoding for Neural Machine TranslationCode0
Multilingual Neural Machine Translation with Task-Specific Attention—0
Multi-Source Neural Machine Translation with Missing Data—0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
Dense Information Flow for Neural Machine TranslationCode0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
A Survey of Domain Adaptation for Neural Machine Translation—0
Meaningless yet meaningful: Morphology grounded subword-level NMT—0
Neural Sign Language TranslationCode0
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