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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 131140 of 1773 papers

TitleStatusHype
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
TasTe: Teaching Large Language Models to Translate through Self-ReflectionCode1
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