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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 491500 of 1773 papers

TitleStatusHype
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation0
TransIns: Document Translation with Markup ReinsertionCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation0
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing0
Recurrent Attention for Neural Machine TranslationCode0
Adaptive Bridge between Training and Inference for Dialogue Generation0
Self-Supervised Curriculum Learning for Spelling Error Correction0
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Sometimes We Want Ungrammatical TranslationsCode0
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