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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 6170 of 1773 papers

TitleStatusHype
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Incorporating BERT into Neural Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
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