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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 641–650 of 1773 papers

TitleStatusHype
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
DFKI-NMT Submission to the WMT19 News Translation Task—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter—0
A Deep Learning Based Approach to Transliteration—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
Developing neural machine translation models for Hungarian-English—0
Detecting Untranslated Content for Neural Machine Translation—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
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