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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 611–620 of 1773 papers

TitleStatusHype
Fast and Accurate Neural Machine Translation with Translation Memory—0
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation—0
Pre-training Methods for Neural Machine Translation—0
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Revisiting Negation in Neural Machine TranslationCode0
The USYD-JD Speech Translation System for IWSLT 2021—0
Modelling Latent Translations for Cross-Lingual TransferCode1
Modeling Bilingual Conversational Characteristics for Neural Chat TranslationCode1
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
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