{"title":"基于规则的中文分组和一致性检查方法","authors":"Jiao-Li Lu, Jia-heng Zheng, Hongye Tan, Jian Sun","doi":"10.4156/JCIT.VOL5.ISSUE10.2","DOIUrl":null,"url":null,"abstract":"This paper presents a rule-based chunking approach. Rule-based method does well in analyzing the structure of natural language. In order to avoid the confliction of the rules, we extract a small scale chunking rule set for chunking first. Then we define more rules to check and correct the inconsistency phenomena. We also adopt man-machine interaction method to solve some special language phenomena. Experimental results show that our approach achieves high accuracy.","PeriodicalId":360193,"journal":{"name":"J. Convergence Inf. Technol.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chinese Chunking and Consistency Checking Using Rule-Based Method\",\"authors\":\"Jiao-Li Lu, Jia-heng Zheng, Hongye Tan, Jian Sun\",\"doi\":\"10.4156/JCIT.VOL5.ISSUE10.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a rule-based chunking approach. Rule-based method does well in analyzing the structure of natural language. In order to avoid the confliction of the rules, we extract a small scale chunking rule set for chunking first. Then we define more rules to check and correct the inconsistency phenomena. We also adopt man-machine interaction method to solve some special language phenomena. Experimental results show that our approach achieves high accuracy.\",\"PeriodicalId\":360193,\"journal\":{\"name\":\"J. Convergence Inf. Technol.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Convergence Inf. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4156/JCIT.VOL5.ISSUE10.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Convergence Inf. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/JCIT.VOL5.ISSUE10.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chinese Chunking and Consistency Checking Using Rule-Based Method
This paper presents a rule-based chunking approach. Rule-based method does well in analyzing the structure of natural language. In order to avoid the confliction of the rules, we extract a small scale chunking rule set for chunking first. Then we define more rules to check and correct the inconsistency phenomena. We also adopt man-machine interaction method to solve some special language phenomena. Experimental results show that our approach achieves high accuracy.