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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 1601–1610 of 1773 papers

TitleStatusHype
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Tokyo Metropolitan University Neural Machine Translation System for WAT 2017—0
Patent NMT integrated with Large Vocabulary Phrase Translation by SMT at WAT 2017—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
Key-value Attention Mechanism for Neural Machine Translation—0
CUNI NMT System for WAT 2017 Translation Tasks—0
CKY-based Convolutional Attention for Neural Machine Translation—0
Context-Aware Smoothing for Neural Machine Translation—0
Concept Equalization to Guide Correct Training of Neural Machine Translation—0
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