Robotics & Machine Learning Daily News2024,Issue(Jan.12) :29-30.

Studies from Xiamen University Reveal New Findings on Machine Translation (Exploring Iterative Dual Domain Adaptation for Neural Machine Translation)

Robotics & Machine Learning Daily News2024,Issue(Jan.12) :29-30.

Studies from Xiamen University Reveal New Findings on Machine Translation (Exploring Iterative Dual Domain Adaptation for Neural Machine Translation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Translation. According to news reportingoriginating from Xiamen, People’s Republic of China, by NewsRx correspondents, research stated, “Domainadaptation for neural machine translation (NMT) has always been a hot research topic in the communityof machine translation. Generally, previous studies focus on the one-pass translation knowledge transferfrom single source domain to a target domain, which, however, is unable to fully exploit domain-sharedtranslation knowledge.”

Key words

Xiamen/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Machine Translation/Xiamen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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