A method for improving the accuracy of automatic indexing of Chinese-English mixed documents
ZHAO Yan; SHI Hui; Yan Zhao (E-mail: zhaoyan2000@shisu.edu.cn)
2012-12-25
Source PublicationChinese Journal of Library and Information Science
ISSN1674-3393
Volume5Issue:4Pages:77-92
Abstract

Purpose: The thrust of this paper is to present a method for improving the accuracy of automatic indexing of Chinese-English mixed documents.
Design/methodology/approach: Based on the inherent characteristics of Chinese-English mixed texts and the cybernetics theory, we proposed an integrated control method for indexing  documents. It consists of "feed-forward control", "in-progress control" and "feed-back control", aiming at improving the accuracy of automatic indexing of Chinese-English mixed documents. An experiment was conducted to investigate the effect of our proposed method.
Findings: This method distinguishes Chinese and English documents in grammatical structures and word formation rules. Through the implementation of this method in the three phases of automatic indexing for the Chinese-English mixed documents, the results were encouraging. The precision increased from 88.54% to 97.10% and recall improved from 97.37% to 99.47%.
Research limitations: The indexing method is relatively complicated and the whole indexing process requires substantial human intervention. Due to pattern matching based on a bruteforce (BF) approach, the indexing efficiency has been reduced to some extent.
Practical implications: The research is of both theoretical signifi cance and practical value in improving the accuracy of automatic indexing of multilingual documents (not confined to Chinese-English mixed documents). The proposed method will benefit not only the indexing of life science documents but also the indexing of documents in other subject areas.
Originality/value: So far, few studies have been published about the method for increasing the accuracy of multilingual automatic indexing. This study will provide insights into the automatic indexing of multilingual documents, especially Chinese-English mixed documents.

;

Purpose: The thrust of this paper is to present a method for improving the accuracy of automatic indexing of Chinese-English mixed documents.
Design/methodology/approach: Based on the inherent characteristics of Chinese-English mixed texts and the cybernetics theory, we proposed an integrated control method for indexing  documents. It consists of "feed-forward control", "in-progress control" and "feed-back control", aiming at improving the accuracy of automatic indexing of Chinese-English mixed documents. An experiment was conducted to investigate the effect of our proposed method.
Findings: This method distinguishes Chinese and English documents in grammatical structures and word formation rules. Through the implementation of this method in the three phases of automatic indexing for the Chinese-English mixed documents, the results were encouraging. The precision increased from 88.54% to 97.10% and recall improved from 97.37% to 99.47%.
Research limitations: The indexing method is relatively complicated and the whole indexing process requires substantial human intervention. Due to pattern matching based on a bruteforce (BF) approach, the indexing efficiency has been reduced to some extent.
Practical implications: The research is of both theoretical signifi cance and practical value in improving the accuracy of automatic indexing of multilingual documents (not confined to Chinese-English mixed documents). The proposed method will benefit not only the indexing of life science documents but also the indexing of documents in other subject areas.
Originality/value: So far, few studies have been published about the method for increasing the accuracy of multilingual automatic indexing. This study will provide insights into the automatic indexing of multilingual documents, especially Chinese-English mixed documents.

KeywordChinese-english Mixed Documents String Matching Accuracy Of Automatic Indexing Cybernetics Dedicated Hepatitis b Virus (Hbv) Database
Subject Area编辑出版
URL查看原文
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/5628
CollectionJournal of Data and Information Science_Chinese Journal of Library and Information Science-2012
Corresponding AuthorYan Zhao (E-mail: zhaoyan2000@shisu.edu.cn)
Recommended Citation
GB/T 7714
ZHAO Yan,SHI Hui,Yan Zhao . A method for improving the accuracy of automatic indexing of Chinese-English mixed documents[J]. Chinese Journal of Library and Information Science,2012,5(4):77-92.
APA ZHAO Yan,SHI Hui,&Yan Zhao .(2012).A method for improving the accuracy of automatic indexing of Chinese-English mixed documents.Chinese Journal of Library and Information Science,5(4),77-92.
MLA ZHAO Yan,et al."A method for improving the accuracy of automatic indexing of Chinese-English mixed documents".Chinese Journal of Library and Information Science 5.4(2012):77-92.
Files in This Item: Download All
File Name/Size DocType Version Access License
Zhao Yan.pdf(1595KB) 开放获取LicenseView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[ZHAO Yan]'s Articles
[SHI Hui]'s Articles
[Yan Zhao (E-mail: zhaoyan2000@shisu.edu.cn)]'s Articles
Baidu academic
Similar articles in Baidu academic
[ZHAO Yan]'s Articles
[SHI Hui]'s Articles
[Yan Zhao (E-mail: zhaoyan2000@shisu.edu.cn)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[ZHAO Yan]'s Articles
[SHI Hui]'s Articles
[Yan Zhao (E-mail: zhaoyan2000@shisu.edu.cn)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Zhao Yan.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.