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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 101110 of 1773 papers

TitleStatusHype
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Token-level Adaptive Training for Neural Machine TranslationCode1
Shallow-to-Deep Training for Neural Machine TranslationCode1
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMTCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Very Deep Transformers for Neural Machine TranslationCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
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