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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

Showing 10311040 of 1773 papers

TitleStatusHype
Using Context in Neural Machine Translation Training Objectives0
A Comprehensive Survey of Grammar Error Correction0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT0
Linguistically Informed Hindi-English Neural Machine Translation0
Corpora for Document-Level Neural Machine Translation0
Multiword Expression aware Neural Machine Translation0
Being Generous with Sub-Words towards Small NMT Children0
Multilingual Neural Machine Translation involving Indian Languages0
NMT and PBSMT Error Analyses in English to Brazilian Portuguese Automatic Translations0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts0
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