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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 441–450 of 1773 papers

TitleStatusHype
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models—0
Revisiting Neural Scaling Laws in Language and Vision—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-TranslationCode0
The impact of translation competence on error recognition of neural MT—0
English-Russian Data Augmentation for Neural Machine Translation—0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation—0
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