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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 1111–1120 of 1773 papers

TitleStatusHype
Mixed Multi-Head Self-Attention for Neural Machine Translation—0
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation—0
English-Myanmar Supervised and Unsupervised NMT: NICT's Machine Translation Systems at WAT-2019—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Combining Translation Memory with Neural Machine Translation—0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English—0
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