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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 901–910 of 1773 papers

TitleStatusHype
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation—0
ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks—0
Passing Parser Uncertainty to the Transformer. Labeled Dependency Distributions for Neural Machine Translation.—0
Patching Leaks in the Charformer for Generative Tasks—0
Patent NMT integrated with Large Vocabulary Phrase Translation by SMT at WAT 2017—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
Phrase-level Active Learning for Neural Machine Translation—0
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation—0
PhraseOut: A Code Mixed Data Augmentation Method for MultilingualNeural Machine Tranlsation—0
Phrase Table as Recommendation Memory for Neural Machine Translation—0
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