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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 1271–1280 of 1773 papers

TitleStatusHype
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation—0
Multi-source transformer with combined losses for automatic post editing—0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
Multi-task Learning for Multilingual Neural Machine Translation—0
Multi-Task Neural Model for Agglutinative Language Translation—0
MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)—0
MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch—0
Multiword Expression aware Neural Machine Translation—0
MuST-Cinema: a Speech-to-Subtitles corpus—0
NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task—0
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