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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 101–110 of 1773 papers

TitleStatusHype
Learning Kernel-Smoothed Machine Translation with Retrieved ExamplesCode1
Learning Light-Weight Translation Models from Deep TransformerCode1
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
Low-Resource Neural Machine Translation: A Case Study of CantoneseCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
MobileNMT: Enabling Translation in 15MB and 30msCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Neural Machine Translating from Natural Language to SPARQLCode1
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language InferenceCode1
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