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篇名
Discovering Correction Rules for Auto Editing
作者 Huang, An-ta (Huang, An-ta)Kuo, Tsung-ting (Kuo, Tsung-ting)Lai, Ying-chun (Lai, Ying-chun)Lin, Shou-de (Lin, Shou-de)
中文摘要
This paper describes a framework that extracts effective correction rules from a sentence-aligned corpus and shows a practical application: auto-editing using the discovered rules. The framework exploits the methodology of finding the Levenshtein distance between sentences to identify the key parts of the rules and uses the editing corpus to filter, condense, and refine the rules. We have produced the rule candidates of such form, A-->B, where A stands for the erroneous pattern and B for the correct pattern. The developed framework is language independent; therefore, it can be applied to other languages. The evaluation of the discovered rules reveals that 67.2% of the top 1500 ranked rules are annotated as correct or mostly correct by experts. Based on the rules, we have developed an online auto-editing system for demonstration at http://ppt.cc/02yY.
起訖頁 219-235
關鍵詞 Edit distanceErroneous patternCorrection rulesAuto editing
刊名 中文計算語言學期刊  
期數 201009 (15:3-4期)
出版單位 中華民國計算語言學學會
該期刊-上一篇 Using Linguistic Features to Predict Readability of Short Essays for Senior High School Students in Taiwan
該期刊-下一篇 學術會議資訊之擷取及其應用
 

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