Reports Summarize Machine Translation Findings from University of Electronic Sci ence and Technology of China [Low Resource Twienglish Parall el Corpus for Machine Translation In Multiple Domains (Twi-2-eng)]

Robotics & Machine Learning Daily News2024，Issue(Aug.5) ：98-98.

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Reports Summarize Machine Translation Findings from University of Electronic Sci ence and Technology of China [Low Resource Twienglish Parall el Corpus for Machine Translation In Multiple Domains (Twi-2-eng)]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Translation. According to news originatingfrom Chengdu, People’s Republic of C hina, by NewsRx correspondents, research stated, “Although Ghanadoes not have o ne unique language for its citizens, the Twi dialect stands a chance of fulfilli ng thispurpose. Twi is among the low-resourced language categories, yet it is w idely spoken beyond Ghana andin countries such as the Ivory Coast, Benin, Niger ia, and other places.”

Key words

Chengdu/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Machine Translation/University of E lectronic Science and Technology of China

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出版年

2024

Robotics & Machine Learning Daily News

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