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Many researchers have discussed ways to decompose Chinese characters into their major components, and tried to build applications based on the decomposition system. The idea can be referred to as the study of the {{ill|Genes of Chinese Characters|zh|漢字基因}}. Cangjie codes offer a basis for such an endeavour. [[Academia Sinica]] in Taiwan<ref>{{cite web |title=漢字構形資料庫 |trans-title=Chinese Character Configuration Database |url=http://cdp.sinica.edu.tw/cdphanzi/ |date=2013 |archive-url=https://web.archive.org/web/20200727065038/http://cdp.sinica.edu.tw/cdphanzi/ |archive-date=27 July 2020 |website=Chinese Document Processing Lab |language=zh |access-date=2 October 2020}}</ref> and Jiaotong University in Shanghai<ref>上海交通大學漢字編碼組,上海漢語拼音文字研究組編著。漢字信息字典。北京市科學出版社，1988。</ref> have similar projects as well.
One direct application of the use of decomposed characters is the possibility of computing the similarities between different Chinese characters.<ref>宋柔，林民，葛詩利。漢字字形計算及其在校對系統中的應用，小型微型計算機系統，第29卷第10期，第1964至1968頁，2008。</ref> The Cangjie input method offers a good starting point for this kind of application. By relaxing the limit of five codes for each Chinese character and adopting more detailed Cangjie codes, visually similar characters can be found by computation. Integrating this with pronunciation information enables computer-assisted learning of Chinese characters.<ref>{{cite journal | last1 = Liu | first1 = Chao-Lin | last2 = Lai | first2 = Min-Hua | last3 = Tien | first3 = Kan-Wen | last4 = Chuang | first4 = Yi-Hsuan | last5 = Wu | first5 = Shih-Hung | last6 = Lee | first6 = Chia-Ying | year = 2011| title = Visually and phonologically similar characters in incorrect Chinese words: Analyses, identification, and applications | doi = 10.1145/1967293.1967297 | journal = ACM Transactions on Asian Language Information Processing | volume = 10 | issue = 2| pages = 1–39 | s2cid = 7288710 }}</ref>
==See also==
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