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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 301–310 of 1773 papers

TitleStatusHype
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
A User Study of the Incremental Learning in NMT—0
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
Augmenting Large Language Model Translators via Translation Memories—0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’—0
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