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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 1581–1590 of 1773 papers

TitleStatusHype
The RWTH Aachen Machine Translation Systems for IWSLT 2017—0
Monolingual Embeddings for Low Resourced Neural Machine TranslationCode0
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems—0
Towards better translation performance on spoken language—0
Decoding with Value Networks for Neural Machine Translation—0
KIT’s Multilingual Neural Machine Translation systems for IWSLT 2017—0
Kyoto University MT System Description for IWSLT 2017—0
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches—0
Modeling Past and Future for Neural Machine TranslationCode0
Learning to Remember Translation History with a Continuous CacheCode0
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