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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 841850 of 1773 papers

TitleStatusHype
INMIGRA3: building a case for NGOs and NMT0
Incorporating External Annotation to improve Named Entity Translation in NMT0
Sockeye 2: A Toolkit for Neural Machine Translation0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation0
A User Study of the Incremental Learning in NMT0
Quantitative Analysis of Post-Editing Effort Indicators for NMT0
MTUOC: easy and free integration of NMT systems in professional translation environments0
Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs0
PosEdiOn: Post-Editing Assessment in PythOn0
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain0
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