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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 15511560 of 1773 papers

TitleStatusHype
Multilingual Neural Machine Translation With Soft Decoupled EncodingCode0
Towards Accurate Translation via Semantically Appropriate Application of Lexical ConstraintsCode0
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Paying Attention to Multi-Word Expressions in Neural Machine TranslationCode0
Multilingual NMT with a language-independent attention bridgeCode0
PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine TranslationCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
Phrase-Based & Neural Unsupervised Machine TranslationCode0
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