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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 1441–1450 of 1773 papers

TitleStatusHype
Revisiting Character-Based Neural Machine Translation with Capacity and Compression—0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
A Tree-based Decoder for Neural Machine TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Contextual Parameter Generation for Universal Neural Machine TranslationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation—0
Meta-Learning for Low-Resource Neural Machine Translation—0
Style Transfer as Unsupervised Machine Translation—0
Training Deeper Neural Machine Translation Models with Transparent AttentionCode0
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