Robotics & Machine Learning Daily News2024,Issue(Apr.15) :67-68.

Data on Machine Translation Described by Researchers at Guangdong University of Foreign Studies (Towards Predicting Post-editing Effort With Source Text Readabi lity: an Investigation for Englishchinese Machine Translation)

Robotics & Machine Learning Daily News2024,Issue(Apr.15) :67-68.

Data on Machine Translation Described by Researchers at Guangdong University of Foreign Studies (Towards Predicting Post-editing Effort With Source Text Readabi lity: an Investigation for Englishchinese Machine Translation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Translation is the subject of a report. According to newsreporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated,“This paper investigates the impact of source text readability on the effort of post-editing English-ChineseNeural Machine Translation (NMT) output. Six readability formul as, including both traditional and newerones, were employed to measure readabil ity, and their predictive power towards post-editing effort wasevaluated.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Machine Translation/Guangdong Uni versity of Foreign Studies

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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