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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 1211–1220 of 1773 papers

TitleStatusHype
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Dependency-Based Relative Positional Encoding for Transformer NMT—0
Dependency-Based Self-Attention for Transformer NMT—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Regularized Context Gates on Transformer for Machine Translation—0
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