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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 1051–1060 of 1773 papers

TitleStatusHype
Improving NMT Quality Using Terminology Injection—0
Improving NMT via Filtered Back Translation—0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
Improving the Robustness of Speech Translation—0
Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Improving Zero-shot Translation with Language-Independent Constraints—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
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