{"title":"汉语语料库中非相邻关键词检索研究——以“一……九……”结构为例","authors":"Xiao-ru Tan, Lijiao Yang","doi":"10.1109/IALP.2014.6973507","DOIUrl":null,"url":null,"abstract":"Corpus Concordancing is a popular research topic. The function of retrieving data from corpus by providing non-adjacent keywords is widely used by users. However, the precision of retrieval results is not very high because the machine can't recognize the relationship of the non-adjacent keywords. To deal with this problem, this paper proposed a rule-based method for the “Yi...Jiu...” construction, which could exclude the unrelated data, even though the data include the keywords. The experiments show that the precision is close to 82%.","PeriodicalId":117334,"journal":{"name":"2014 International Conference on Asian Language Processing (IALP)","volume":"59 40","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The retrieval research of non-adjacent keywords in Chinese corpus — A case study of “Yi…Jiu…” construction\",\"authors\":\"Xiao-ru Tan, Lijiao Yang\",\"doi\":\"10.1109/IALP.2014.6973507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Corpus Concordancing is a popular research topic. The function of retrieving data from corpus by providing non-adjacent keywords is widely used by users. However, the precision of retrieval results is not very high because the machine can't recognize the relationship of the non-adjacent keywords. To deal with this problem, this paper proposed a rule-based method for the “Yi...Jiu...” construction, which could exclude the unrelated data, even though the data include the keywords. The experiments show that the precision is close to 82%.\",\"PeriodicalId\":117334,\"journal\":{\"name\":\"2014 International Conference on Asian Language Processing (IALP)\",\"volume\":\"59 40\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Asian Language Processing (IALP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IALP.2014.6973507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Asian Language Processing (IALP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP.2014.6973507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The retrieval research of non-adjacent keywords in Chinese corpus — A case study of “Yi…Jiu…” construction
Corpus Concordancing is a popular research topic. The function of retrieving data from corpus by providing non-adjacent keywords is widely used by users. However, the precision of retrieval results is not very high because the machine can't recognize the relationship of the non-adjacent keywords. To deal with this problem, this paper proposed a rule-based method for the “Yi...Jiu...” construction, which could exclude the unrelated data, even though the data include the keywords. The experiments show that the precision is close to 82%.
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