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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 1211–1220 of 1773 papers

TitleStatusHype
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework—0
Mirror-Generative Neural Machine Translation—0
Mixed Multi-Head Self-Attention for Neural Machine Translation—0
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches—0
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model—0
Modeling Discourse Structure for Document-level Neural Machine Translation—0
Modeling Future Cost for Neural Machine Translation—0
Modeling Future for Neural Machine Translation by Fusing Target Information—0
Modeling Homophone Noise for Robust Neural Machine Translation—0
Modeling Latent Sentence Structure in Neural Machine Translation—0
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