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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 1161–1170 of 1773 papers

TitleStatusHype
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Multilingual Neural Machine Translation for Zero-Resource LanguagesCode0
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
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