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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 791–800 of 1773 papers

TitleStatusHype
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation—0
Multilingual Neural Machine Translation—0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction—0
Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation—0
English-to-Chinese Transliteration with Phonetic Auxiliary Task—0
SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks—0
Machine Translation of Novels in the Age of TransformerCode0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
Decoding and Diversity in Machine Translation—0
Master Thesis: Neural Sign Language Translation by Learning Tokenization—0
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