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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 991–1000 of 1773 papers

TitleStatusHype
Improving NMT Quality Using Terminology Injection—0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT—0
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
Linguistically Informed Hindi-English Neural Machine Translation—0
Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level—0
NMT and PBSMT Error Analyses in English to Brazilian Portuguese Automatic Translations—0
Corpora for Document-Level Neural Machine Translation—0
Multilingual Neural Machine Translation involving Indian Languages—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
Being Generous with Sub-Words towards Small NMT Children—0
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