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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 41–50 of 1773 papers

TitleStatusHype
Nearest Neighbor Knowledge Distillation for Neural Machine TranslationCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine TranslationCode1
Towards Better Chinese-centric Neural Machine Translation for Low-resource LanguagesCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
Learning Confidence for Transformer-based Neural Machine TranslationCode1
Neural Machine Translation with Phrase-Level Universal Visual RepresentationsCode1
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
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