Automatic detecting/correcting errors in Chinese text by an approximate word-matching algorithm

Authors:
Lei Zhang;Changning Huang;Ming Zhou;Haihua Pan
Affiliations:
Tsinghua University, Beijing, China;Microsoft Research China, Beijing, China;Microsoft Research China, Beijing, China;City University of Hong Kong, Kowlong, Hong Kong, China
Venue:
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Year:
2000

Citing 2
Cited 4

Techniques for automatically correcting words in text

ACM Computing Surveys (CSUR)
Error-tolerant finite-state recognition with applications to morphological analysis and spelling correction

Computational Linguistics

Error Detection and Correction Based on Chinese Phonemic Alphabet in Chinese Text

MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
A multiple classifier approach to detect Chinese character recognition errors

Pattern Recognition
Visually and Phonologically Similar Characters in Incorrect Chinese Words: Analyses, Identification, and Applications

ACM Transactions on Asian Language Information Processing (TALIP)
Why press backspace?: understanding user input behaviors in Chinese Pinyin input method

HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

An approximate word-matching algorithm for Chinese is presented. Based on this algorithm, an effective approach to Chinese spelling error detection and correction is implemented. With a word tri-gram language model, the optimal string is searched from all possible derivation of the input sentence using operations of character substitution, insertion, and deletion. Comparing the original sentence with the optimal string, spelling error detection and correction is realized simultaneously.