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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 761–770 of 1773 papers

TitleStatusHype
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersCode0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation—0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender—0
Context-Adaptive Document-Level Neural Machine Translation—0
First the worst: Finding better gender translations during beam searchCode0
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