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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 1151–1160 of 1773 papers

TitleStatusHype
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Our Neural Machine Translation Systems for WAT 2019—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT—0
Sarah's Participation in WAT 2019—0
Mixed Multi-Head Self-Attention for Neural Machine Translation—0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation—0
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper—0
Document-level Neural Machine Translation with Associated Memory Network—0
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