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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 891–900 of 1773 papers

TitleStatusHype
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Iterative Domain-Repaired Back-Translation—0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Adversarial Grammatical Error Correction—0
On the Sparsity of Neural Machine Translation Models—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
A Mixed Learning Objective for Neural Machine Translation—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Constraining the Transformer NMT Model with Heuristic Grid Beam Search—0
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