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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 1191–1200 of 1773 papers

TitleStatusHype
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Neural Machine Translation with 4-Bit Precision and Beyond—0
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction—0
Dynamic Fusion: Attentional Language Model for Neural Machine Translation—0
Getting Gender Right in Neural Machine Translation—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Multi-Granularity Self-Attention for Neural Machine Translation—0
Investigating Multilingual NMT Representations at Scale—0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation—0
Multi-agent Learning for Neural Machine Translation—0
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