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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

Showing 16711680 of 1773 papers

TitleStatusHype
Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationCode0
Active Learning for Neural Machine TranslationCode0
Neural Machine Translation with Error CorrectionCode0
Translation Transformers Rediscover Inherent Data DomainsCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
Kyoto-NMT: a Neural Machine Translation implementation in ChainerCode0
Deep Neural Machine Translation with Weakly-Recurrent UnitsCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
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