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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 1726–1750 of 1773 papers

TitleStatusHype
Neural Clinical Paraphrase Generation with Attention—0
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder—0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Neural Machine Translation with ReconstructionCode0
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration—0
Dual Learning for Machine TranslationCode0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016—0
SYSTRAN's Pure Neural Machine Translation Systems—0
Pre-Translation for Neural Machine Translation—0
Interactive Attention for Neural Machine Translation—0
Neural Machine Translation Advised by Statistical Machine Translation—0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
Learning to Translate in Real-time with Neural Machine TranslationCode0
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation—0
One Sentence One Model for Neural Machine Translation—0
Factored Neural Machine Translation—0
Neural Machine Translation with Supervised Attention—0
Multimodal Attention for Neural Machine Translation—0
Context Gates for Neural Machine TranslationCode0
Neural versus Phrase-Based Machine Translation Quality: a Case Study—0
Temporal Attention Model for Neural Machine Translation—0
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