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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 321–330 of 1773 papers

TitleStatusHype
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Ngambay-French Neural Machine Translation (sba-Fr)Code0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
Fast Training of NMT Model with Data Sorting—0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
Character-level NMT and language similarity—0
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—0
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
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