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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 91–100 of 1773 papers

TitleStatusHype
Can Automatic Post-Editing Improve NMT?Code1
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
IndicBART: A Pre-trained Model for Indic Natural Language GenerationCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
Language-agnostic BERT Sentence EmbeddingCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
Language-Informed Beam Search Decoding for Multilingual Machine TranslationCode1
Learning Light-Weight Translation Models from Deep TransformerCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
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