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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 351–360 of 1773 papers

TitleStatusHype
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
Corpora for Document-Level Neural Machine Translation—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Correcting Length Bias in Neural Machine Translation—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
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