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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 1121–1130 of 1773 papers

TitleStatusHype
Zero-Resource Neural Machine Translation with Monolingual Pivot Data—0
Sarah's Participation in WAT 2019—0
Data augmentation using back-translation for context-aware neural machine translation—0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019—0
Our Neural Machine Translation Systems for WAT 2019—0
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 2019—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
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