Word Cloud Big Data Analysis of Manchu Script in Weiwenqiju

Poster presentation at The 50th Fall Comprehensive Conference of the Korea Information and Communication Society (KIICE) (제50회 한국정보통신학회 추계종합학술대회).

Poster presentation at The 50th Fall Comprehensive Conference of the Korea Information and Communication Society (KIICE) (제50회 한국정보통신학회 추계종합학술대회).

The Qing dynasty’s Yumentingzheng (御門聽政) is an important document comparable to the Annals of Joseon in Korea. This is a record of conversations between the Qing dynasty emperor and his ministers.

Manchu script is one of the few scripts left in the world that does NOT have an easy way to perform OCR (optical character recognition) on it to scan and read documents into a digital format. There is also no readily available and complete Manchu dictionary available for word lookup. Therefore, pages containing the Manchu script must first be transliterated in a way that computers can perform analysis.

In this study, text that was already transcribed using the Möllendorf method was simplified to the Abkai method (transliterations of Manchu) in order to perform a big data analysis on the text and pull out the most important keywords from this portion of the text, the Weiwenqiju (慰問起居).

Author: Aaron

Aaron Snowberger is an experienced web developer, graphic designer, and educator in ESL and computer technology. He holds a Bachelor's degree in Computer Science, Master's degree in Media Design, and professional certifications for React (JavaScript) development, and as a Google Certified Educator and Trainer. Aaron is passionate about helping new learners discover the joys of technology, and has presented across the country at multiple local, national, and international conferences in both the ESL and web development fields. His most recent talk was given at the 2019 JSConf (JavaScript Conference) in Seoul on September 3, 2019. (https://2019.jsconfkorea.com/en/tutorials)

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