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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 631–640 of 1773 papers

TitleStatusHype
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Future-Prediction-Based Model for Neural Machine Translation—0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
Code Translation with Compiler Representations—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
Gender-specific Machine Translation with Large Language Models—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
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