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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 1711–1720 of 1773 papers

TitleStatusHype
QCRI’s Machine Translation Systems for IWSLT’16—0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
Multilingual Disfluency Removal using NMT—0
Factored Neural Machine Translation Architectures—0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
UFAL Submissions to the IWSLT 2016 MT Track—0
Kyoto-NMT: a Neural Machine Translation implementation in ChainerCode0
Topic-Informed Neural Machine Translation—0
Ensemble Learning for Multi-Source Neural Machine Translation—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
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