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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 3140 of 1773 papers

TitleStatusHype
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and TextsCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the TransformerCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Unifying the Convergences in Multilingual Neural Machine TranslationCode1
Quality-Aware Decoding for Neural Machine TranslationCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
Prompt-Driven Neural Machine TranslationCode1
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