工作研究

数字背景下《春秋经传引得》错漏校订及编纂质量分析

  • 彭秋茹 ,
  • 范文洁 ,
  • 黄水清
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  • 1. 南京农业大学信息管理学院 南京 210095;
    2. 南京农业大学人文与社会计算研究中心 南京 210095
彭秋茹,助理研究员;黄水清,教授,博士生导师。

收稿日期: 2021-08-17

  修回日期: 2021-09-29

  网络出版日期: 2021-12-18

基金资助

本文系国家社会科学基金重大项目"基于《汉学引得丛刊》的典籍知识库构建及人文计算研究"(项目编号:15ZDB127)和国家社会科学基金青年项目"中文人文社会科学学术图书全文本引文分析模式研究"(项目编号:20CTQ026)研究成果之一。

Errors Revision and Compilation Quality Evaluation of Index to Chunqiu Jingzhuan in a Digital Background

  • Peng Qiuru ,
  • Fan Wenjie ,
  • Huang Shuiqing
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  • 1. College of Information Management, Nanjing Agricultural University, Nanjing 210095;
    2. Research Center for Humanities and Social Computing, Nanjing Agricultural University, Nanjing 210095

Received date: 2021-08-17

  Revised date: 2021-09-29

  Online published: 2021-12-18

摘要

[目的/意义]在数字化的前提下对《春秋经传引得》的错漏进行识别和校订,以量化数据为依据整体考察和分析其编纂质量,并得以管窥手工时代中国古代典籍索引扛鼎之作《汉学引得丛刊》的编纂质量,重新发现印本形态的古籍全文索引在数字时代的价值。[方法/过程]对《春秋经传引得》的经文、传文以及全部索引款目全面数字化,并逐项比对,找出并校订其中的错漏,记录并统计错漏的类型、数量,分析整体编纂质量。[结果/结论]《春秋经传引得》确有极少的错漏,款目差错率仅为万分之一左右,编纂质量堪称手工时代的巅峰,当得起学界的高度赞誉,可作为数字化语料的高质量基础语料。

本文引用格式

彭秋茹 , 范文洁 , 黄水清 . 数字背景下《春秋经传引得》错漏校订及编纂质量分析[J]. 图书情报工作, 2021 , 65(23) : 50 -57 . DOI: 10.13266/j.issn.0252-3116.2021.23.006

Abstract

[Purpose/significance] Under the premise of digitization, this paper recognizes and revises missing errors of Index to Chunqiu Jingzhuan, whose compilation quality is reviewed and analyzed based on quantitative data. This paper shows the compilation quality of the great works of ancient Chinese classics index Sinological Index Series in the manual age and reveals the value of the printed form full-text index of ancient books in the digital age.[Method/process] The scriptures, biography and all index entries of Index to Chunqiu Jingzhuan was counted by digitization. Comparing them item by item was to find out and correct the errors and omissions, record and count the types and numbers of errors and omissions, and analyze the overall compilation quality.[Result/conclusion] There are few missing errors in Index to Chunqiu Jingzhuan, and the entry error rate is only about 1 in 10,000. The compilation quality can be called the pinnacle of the hand-crafted era, it deserves the great reputation among academic community and can be used as a high-quality foundation for digital corpus.

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