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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 1261–1270 of 1773 papers

TitleStatusHype
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders—0
Effective Adversarial Regularization for Neural Machine TranslationCode1
A Compact and Language-Sensitive Multilingual Translation Method—0
Self-Supervised Neural Machine TranslationCode0
On the Word Alignment from Neural Machine Translation—0
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation—0
Saliency-driven Word Alignment Interpretation for Neural Machine TranslationCode0
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models—0
Neural Machine Translating from Natural Language to SPARQLCode1
Incremental Adaptation of NMT for Professional Post-editors: A User Study—0
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