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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 981–990 of 1773 papers

TitleStatusHype
Guiding Neural Machine Translation with Retrieved Translation Pieces—0
Hallucinations in Neural Machine Translation—0
Hallucinations in neural machine translation—0
Handling Homographs in Neural Machine Translation—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction—0
HI-CMLM: Improve CMLM with Hybrid Decoder Input—0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
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