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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 151–160 of 1773 papers

TitleStatusHype
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Improving Multilingual Translation by Representation and Gradient RegularizationCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Improving Simultaneous Machine Translation with Monolingual DataCode1
IndicBART: A Pre-trained Model for Indic Natural Language GenerationCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
On Compositional Generalization of Neural Machine TranslationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Learning Confidence for Transformer-based Neural Machine TranslationCode1
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP ModelsCode1
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