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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 1051–1060 of 1773 papers

TitleStatusHype
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Multiscale Collaborative Deep Models for Neural Machine TranslationCode0
Syntax-aware Data Augmentation for Neural Machine Translation—0
Revisiting Round-Trip Translation for Quality Estimation—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
A Study of Non-autoregressive Model for Sequence Generation—0
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