Automatic correction for graphemic Chinese misspelled words

Tao Hsing Chang, Shou Yen Su, Hsueh Chih Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

No matter that learning Chinese as a first or second language, a quite important issue, misspelled words, needs to be addressed. Many studies proposed that there was a suggestion of correcting misspelled words for students who are still schooling as well as a suggestion of teaching and learning strategies of Chinese characters for teachers. Although in schooling, it does to prevent students who do lots of precautions and corrections from generating misspelled words; students sometimes are unconscious of their misspelled words while writing. As a result, in addition to emphasize the recognition of misspelled words in teaching, mentioning how to prevent from generating misspelled words during the process of using words becomes a critical issue. Nevertheless, it is not an easy matter to find misspelled words automatically and correctly within documents by using formula. Currently, there are researchers conducting research on graphemic misspelled words detection and applying it to different fields. But the accuracy is still far from the real demand. If it can analyze the model, probability and context of misspelled words in detail, it could be detecting the misspelled words more quickly and precisely as well as correcting those words effectively. We had been already accumulated quite research experiences on graphemic misspelled words. This project will combine with resources provided by the mainline project to process the problem of graphemic misspelled words. If it can achieve a breakthrough, it will not only offer a quite effective auxiliary tool for teaching Chinese misspelled words, but assist in establishing a learning tool of Chinese character errors corpus more quickly.

Original languageEnglish
Title of host publicationProceedings of the 24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012
Pages125-139
Number of pages15
Publication statusPublished - 2012
Event24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012 - Chung-Li, Taiwan
Duration: 2012 Sep 212012 Sep 22

Publication series

NameProceedings of the 24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012

Other

Other24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012
CountryTaiwan
CityChung-Li
Period12/9/2112/9/22

Keywords

  • Graphemic similarit
  • Misspelled words correction
  • Misspelled words detection

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

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