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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 891–900 of 1773 papers

TitleStatusHype
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning—0
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media—0
Our Neural Machine Translation Systems for WAT 2019—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
Parallel Attention Forcing for Machine Translation—0
Parallel Corpus Filtering Based on Fuzzy String Matching—0
Parallel sentences mining with transfer learning in an unsupervised setting—0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts—0
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