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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 1651–1660 of 1773 papers

TitleStatusHype
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
Modeling Target-Side Inflection in Neural Machine Translation—0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Sequence-to-Dependency Neural Machine Translation—0
Visualizing and Understanding Neural Machine Translation—0
Chunk-based Decoder for Neural Machine Translation—0
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary—0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation—0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
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