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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 661–670 of 1773 papers

TitleStatusHype
Hallucinations in Neural Machine Translation—0
Hallucinations in neural machine translation—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
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