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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 171–180 of 1773 papers

TitleStatusHype
A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
A Primer in NMTology: What we have understood about NMT—0
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
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