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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 1171–1180 of 1773 papers

TitleStatusHype
Look-ahead Attention for Generation in Neural Machine Translation—0
Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation—0
Look Harder: A Neural Machine Translation Model with Hard Attention—0
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
Low-Latency Neural Speech Translation—0
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages—0
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation—0
Low Resource Multimodal Neural Machine Translation of English-Hindi in News Domain—0
Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French—0
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 2019—0
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