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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 871–880 of 1773 papers

TitleStatusHype
A User Study of the Incremental Learning in NMT—0
Learning How to Translate North Korean through South Korean—0
An Analysis of Source-Side Grammatical Errors in NMT—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Learning Source Phrase Representations for Neural Machine Translation—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Icelandic Parallel Abstracts Corpus—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
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