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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 17011710 of 1773 papers

TitleStatusHype
Sometimes We Want Ungrammatical TranslationsCode0
Attention Forcing for Machine TranslationCode0
A Tree-based Decoder for Neural Machine TranslationCode0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Easy Guided Decoding in Providing Suggestions for Interactive Machine TranslationCode0
Learning Language Representations for Typology PredictionCode0
Dynamic Past and Future for Neural Machine TranslationCode0
Learning Multilingual Sentence Representations with Cross-lingual Consistency RegularizationCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
Learning the Relation between Code Features and Code Transforms with Structured PredictionCode0
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