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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 861–870 of 1773 papers

TitleStatusHype
NICT‘s Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models?—0
Comparison of the effects of attention mechanism on translation tasks of different lengths of ambiguous words—0
Multimodal Neural Machine Translation for English to Hindi—0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
Multilingual Neural Machine Translation—0
A Review of Discourse-level Machine Translation—0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages—0
English-to-Chinese Transliteration with Phonetic Auxiliary Task—0
WT: Wipro AI Submissions to the WAT 2020—0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
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