Kanji Feature Extraction Method based on the Analysis of the Corpus-Based Computational Linguistics: Practical Study of New Literally Regular Use Chinese Characters in Education

2014 Fiscal Year Final Research Report

• Project/Area Number: 23300300
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Educational technology
• Research Institution: Aichi University of Education
• Principal Investigator: NOZAKI Hironari 愛知教育大学, 教育学部, 教授 (80275148)
• Co-Investigator(Kenkyū-buntansha): NAKATSU Narao 愛知教育大学, 教育学部, 教授 (90133131) ; EJIMA Tetsuro 愛知教育大学, 教育学部, 准教授 (10335078) ; UMEDA Kyoko 愛知教育大学, 教育学部, 准教授 (70345940) ; SAITO Hitomi 愛知教育大学, 教育学部, 准教授 (00378233) ; TAJIKA Hidetsugu 神戸親和女子大学, 発達教育学部, 教授 (30109368) ; YOKOYAMA Shoichi 国立国語研究所, 理論・構造研究系, 教授 (60182713) ; TANAKA Yoshiko 日本工業大学, 工学部, 准教授 (10406423) ; YOSHINE Katsumi 南山大学, 経済学部, 准教授 (50230785) ; ISOMOTO Yukuo 名古屋女子大学, 家政学部, 研究員 (10029994)
• Project Period (FY): 2011-04-01 – 2015-03-31
• Keywords: 教育工学 / データマイニング / 漢字教育 / コーパス

Outline of Final Research Achievements

In this study, we have developed the method kanji feature extraction method based on the analysis of the corpus-based computational linguistics. The Japan government updated the table of “Literally Regular Use Chinese Characters (joyo kanji)" designated for the first time in 29 years, deleting five and adding 196, including difficult-to-write kanji characters that have become easier to use with computers. The new total is 2,136. Almost all Japanese students have to learn them all. The authors extract the kanji feature amount by making a comparison between new and old table of joyo kanji. We have devised the learning strategies of new kanji using a digital device. Finally, we investigate extremely effective methods to learn kanji from elementary school to high school.

Free Research Field

教育工学