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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 801–810 of 1773 papers

TitleStatusHype
Majority Voting with Bidirectional Pre-translation For Bitext RetrievalCode0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Meta Back-translation—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
Understanding Pre-Editing for Black-Box Neural Machine Translation—0
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation—0
Synthesizing Monolingual Data for Neural Machine Translation—0
Efficient Neural Machine Translation with Prior Word Alignment—0
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