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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 731–740 of 1773 papers

TitleStatusHype
Understanding Pre-Editing for Black-Box Neural Machine Translation—0
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation—0
Synthesizing Monolingual Data for Neural Machine Translation—0
Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data AugmentationCode1
Efficient Neural Machine Translation with Prior Word Alignment—0
Switching-Aligned-Words Data Augmentation for Neural Machine Translation—0
Crowd-sourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The case of Fon Language—0
Translation Memory Guided Neural Machine Translation—0
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Learning to Use Future Information in Simultaneous TranslationCode0
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