中国科技期刊研究 ›› 2023, Vol. 34 ›› Issue (9): 1174-1179. doi: 10.11946/cjstp.202303020122

• 评价与分析 • 上一篇    下一篇

审校软件辅助中文科技期刊术语审读工作机制探究

王琪1)()(), 乔远波1), 张宁2), 宋培彦3), 刘金婷1), 郭剑4)   

  1. 1) 全国科学技术名词审定委员会,北京市东城区东黄城根北街16号 100717
    2) 科学出版社,北京市东城区东黄城根北街16号 100717
    3) 天津师范大学,天津市西青区宾水西道393号 300387
    4) 中国音像与数字出版协会,北京市海淀区莲花苑5号 100036
  • 收稿日期:2023-03-02 修回日期:2023-07-18 出版日期:2023-09-15 发布日期:2023-10-07
  • 作者简介:

    王 琪(ORCID:0000-0002-4344-2541),博士,副编审,E-mail:;

    乔远波,硕士,助理研究员;

    张 宁,硕士,副编审;

    宋培彦,博士,教授;

    刘金婷,博士,副研究员;

    郭 剑,博士,副编审。

  • 基金资助:
    中国科学院自然科学期刊编辑研究会2022年研究课题“名词术语审读工作方案与机制研究”(YJHWT202206)

Exploration of terminology reviewing mechanism of Chinese scientific journals assisted by proofreading software

WANG Qi1)()(), QIAO Yuanbo1), ZHANG Ning2), SONG Peiyan3), LIU Jinting1), GUO Jian4)   

  1. 1) China National Committee for Terminology in Science and Technology, 16 Donghuangchenggen North Street, Dongcheng District, Beijing 100717, China
    2) Science China Press, 16 Donghuangchenggen North Street, Dongcheng District, Beijing 100717, China
    3) Tianjin Normal University, 393 West Binshui Road, Xiqing District, Tianjin 300387, China
    4) China Audio-Video and Digital Publishing Association, 5 Lianhuayuan, Haidian District, Beijing 100036, China
  • Received:2023-03-02 Revised:2023-07-18 Online:2023-09-15 Published:2023-10-07

摘要:

目的】 探索如何借助审校软件开展中文科技期刊术语审读,为提升术语审读质量和效率提供参考,为实现机器审读和人工审读有机结合提供路径,为建立常态化的术语审读模式提供思路。【方法】 对2021年10种科技期刊的术语相关差错情况做回顾性调查,采用机器审读和人工审读相结合的方法,充分利用审校软件优化审读工作模式;采用定量和定性分析相结合的方法,对比不同软件审校结果,遴选适用于术语审校的高效软件。【结果】 审校软件能有效减少工作量,保证工作质量的一致性,在若干类型错误的检测方面具备优势,但各软件效果不一,人工审核不可或缺。【结论】 最大限度地利用审校软件和提升审校软件性能是提升术语审读效率、扩大术语审读规模的重要保障。

关键词: 科技期刊, 术语, 审读, 审校软件

Abstract:

[Purposes] This study explores how to carry out terminology reviewing of Chinese scientific journals assisted by proofreading software, so as to provide a reference for improving the quality and efficiency of terminology reviewing, a path for the organic combination of machine reviewing and manual reviewing, and ideas for the establishment of a regular mode of terminology reviewing. [Methods] A retrospective investigation was conducted on the errors related to terms in 10 scientific journals in 2021, and a combination of machine reviewing and manual reviewing was adopted to optimize the working mode of reviewing by making full use of proofreading software. Quantitative and qualitative analyses were used to compare the reviewing results of different proofreading software, and the efficient software suitable for terminology reviewing was selected. [Findings] The proofreading software can effectively reduce the workload, ensure the consistency of work quality, and has advantages in the detection of several error types. However, the effects of software are different, and manual audit is indispensable. [Conclusions] It is important to make full use of proofreading software and improve their performance to improve the efficiency of terminology reviewing and expand the scale of terminology reviewing.

Key words: Scientific journal, Terminology, Reviewing, Proofreading software