首页|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)]
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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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.”
ChengduPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningMachine TranslationUniversity of E lectronic Science and Technology of China
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