中文签名文件中三音节查询错误命中

Tyne Liang, Suh-Yin Lee, Wei-Pang Yang
{"title":"中文签名文件中三音节查询错误命中","authors":"Tyne Liang, Suh-Yin Lee, Wei-Pang Yang","doi":"10.1109/ICDAR.1995.598966","DOIUrl":null,"url":null,"abstract":"In the application of the superimposed coding method to character-based Chinese text retrieval we find two kinds of false hits for a multi-syllabic (multicharacter) query. The first type is a random false hit (RFH) which is due to accidental setting of bits by irrelevant characters in a document signature. The other type is an adjacency false hit (AFH) which is due to the loss of character sequence information in signature creation. Since many query terms are proper nouns and Chinese names which often contain three characters (tri-syllabic), we derive a formula to estimate the RFH for trisyllabic queries. As for the AFH which cannot be reduced by single character (monogram) hashing method, a method which hashes consecutive character pairs (bigram) is designed to reduce both the AFH and the RFH. We find that there exists an optimal weight assignment for a minimal false hit rate in a combined scheme which encodes both monogram and bigram keys in document signatures.","PeriodicalId":273519,"journal":{"name":"Proceedings of 3rd International Conference on Document Analysis and Recognition","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"False hits of tri-syllabic queries in a Chinese signature file\",\"authors\":\"Tyne Liang, Suh-Yin Lee, Wei-Pang Yang\",\"doi\":\"10.1109/ICDAR.1995.598966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the application of the superimposed coding method to character-based Chinese text retrieval we find two kinds of false hits for a multi-syllabic (multicharacter) query. The first type is a random false hit (RFH) which is due to accidental setting of bits by irrelevant characters in a document signature. The other type is an adjacency false hit (AFH) which is due to the loss of character sequence information in signature creation. Since many query terms are proper nouns and Chinese names which often contain three characters (tri-syllabic), we derive a formula to estimate the RFH for trisyllabic queries. As for the AFH which cannot be reduced by single character (monogram) hashing method, a method which hashes consecutive character pairs (bigram) is designed to reduce both the AFH and the RFH. We find that there exists an optimal weight assignment for a minimal false hit rate in a combined scheme which encodes both monogram and bigram keys in document signatures.\",\"PeriodicalId\":273519,\"journal\":{\"name\":\"Proceedings of 3rd International Conference on Document Analysis and Recognition\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd International Conference on Document Analysis and Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.1995.598966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.1995.598966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在将叠加编码方法应用于基于字符的中文文本检索中,对一个多音节(多字符)查询发现了两种错误命中。第一种类型是随机错误命中(RFH),这是由于文档签名中不相关的字符偶然设置了位。另一种类型是邻接错误命中(AFH),这是由于签名创建过程中字符序列信息的丢失。由于许多查询词是专有名词和中文名称,通常包含三个字符(三音节),我们推导了一个公式来估计三音节查询的RFH。针对单字符(字母组合)哈希法无法减少的AFH,设计了一种对连续字符对(双字符)进行哈希的方法来同时减少AFH和RFH。我们发现在一个同时编码字母组合和双字母组合密钥的文件签名方案中存在一个最小错误命中率的最优权值分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
False hits of tri-syllabic queries in a Chinese signature file
In the application of the superimposed coding method to character-based Chinese text retrieval we find two kinds of false hits for a multi-syllabic (multicharacter) query. The first type is a random false hit (RFH) which is due to accidental setting of bits by irrelevant characters in a document signature. The other type is an adjacency false hit (AFH) which is due to the loss of character sequence information in signature creation. Since many query terms are proper nouns and Chinese names which often contain three characters (tri-syllabic), we derive a formula to estimate the RFH for trisyllabic queries. As for the AFH which cannot be reduced by single character (monogram) hashing method, a method which hashes consecutive character pairs (bigram) is designed to reduce both the AFH and the RFH. We find that there exists an optimal weight assignment for a minimal false hit rate in a combined scheme which encodes both monogram and bigram keys in document signatures.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detection of courtesy amount block on bank checks Visual inter-word relations and their use in OCR postprocessing Interactive acquisition of thematic information of Chinese verbs for judicial verdict document understanding using templates, syntactic clues, and heuristics Knowledge-based derivation of document logical structure Evaluation of an interactive tool for handwritten form description
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1