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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
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
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