The Digitization Of The Polyphonic Characters Of Kuang-y(?)n

Alternative pronunciation are one of the results that shows pheological performance of the pronounction, we believe that a deep research of polyphone will be good for exploring ancient pronunciation development, as well as standardizing modern Chinese pronunciation.However, The shape of some Chinese characters in ancient books are complicated and difficult to identify, what’s more, the definition of them turns to be fuzzy and varied. All of this conditions requires professional knowledge to distinguish.For this reason, so, most of the studies for the ancient books are at the stage of manual work.However, with the digital information processing and networking to achieve a comprehensive and in-depth applications, digital processing for ancient classic is becoming a hot exploratory topic in academia. The change of research methods will bring a new perspective for ontological study. "Kuang-y(?)n" is a Rime book which represents of the ancient Chinese language. As we count, there are 3746 phonological characters, which accounts for a large proportion.Firstly,When we Proofread "Kuang-y(?)n" Database, we treat Ze Zhang Shijun deposit Church of the "Sung beng Kuang-y(?)n" as original material. Meanwhile,we also refer to Tsu-mo "Kuang-y(?)n jiao ben " and Yu Nae-wing " A New Revision of Kuang-y(?)n(Sung Edition)". After the dominant flag of Polyphone has been classified, we edit program code with SQL query language, using the Access database function as an aid. Then, based on differences in dominant flag, we categorize them and do statistics, finally, we get 3746 phonological characters.Secondly, by using C# and Microsoft Visual Studio languages,we produce and optimize the retrieval system for "Kuang-y(?)n " alternative pronunciation. We distinguish the number of pronunciation of "Kuang-y(?)n" phonological characters,which will give users a different search range,thus making a diverse search condition; Furthermore, we preliminarily optimize retrieval system to enrich search functions. Meanwhile, we not only collect the number of pronunciation for the phonological characters, but also observe distribution of the pronunciation for each phonological characters between different Rhymes. Finally, we make an exploration for parts of phonological characters. On the one hand, by Sorting "Kuang-y(?)n" phonological characters which are from "Shuo-wen-chieh-tzu ", we note that difference of Fanqie is mainly because of changing pronunciation and divergence in dialect. On the other hand, we classified the sources of pronunciation from "Kuang-y(?)n". And we believe that some "original pronunciation " in "Kuang-y(?)n " comments do actually not comply with its concept in Chinese history; By the way, some of the pronunction are from "Shuo-wen-chieh-tzu", some are the results of meaning extension for rhyme characters, and the changing of vocabulary can also lead to the changing of pronunciation.All in all, in this paper, we use computer technology as a tool for data processing. We hope that it will be an active trying on the way of seeking a change of ontology research methods.