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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 411–420 of 1773 papers

TitleStatusHype
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Detecting Untranslated Content for Neural Machine Translation—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
Developing neural machine translation models for Hungarian-English—0
DFKI-NMT Submission to the WMT19 News Translation Task—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
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