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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 1651–1660 of 1773 papers

TitleStatusHype
Neural Machine Translation Models with Attention-Based Dropout LayerCode0
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language BribriCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel CorporaCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Dense Information Flow for Neural Machine TranslationCode0
Joey NMT: A Minimalist NMT Toolkit for NovicesCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
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