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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 551–560 of 1773 papers

TitleStatusHype
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
A Study of Non-autoregressive Model for Sequence Generation—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
A Study of Multilingual Neural Machine Translation—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
A study of attention-based neural machine translation model on Indian languages—0
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources—0
Neural Machine Translation with Recurrent Highway Networks—0
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