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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 131–140 of 1773 papers

TitleStatusHype
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
Towards Making the Most of Context in Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Incorporating BERT into Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
PMIndia -- A Collection of Parallel Corpora of Languages of IndiaCode1
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine TranslationCode1
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
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