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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 481–490 of 1773 papers

TitleStatusHype
Calibrating Translation Decoding with Quality Estimation on LLMsCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Character-level Chinese-English Translation through ASCII EncodingCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Active Learning for Neural Machine TranslationCode0
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian PidginCode0
Towards User-Driven Neural Machine TranslationCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
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