編輯室報告【第三十一期】

一、《清華中文學報》第三十一期已出刊（2024.6）
本期共刊登6篇論文，內容涵蓋語言學、思想、文學等領域，展現多元的學術視野。

二、《清華中文學報》長期徵稿
歡迎海內外學者（含博士候選人）賜稿，本刊全年徵稿，隨到隨審。

賜稿可將紙本寄至：
300044新竹市光復路二段101號
國立清華大學中國文學系

或用電子郵件發至：thjcl@my.nthu.edu.tw

三、專題徵稿：思想史關鍵詞研究

關鍵詞研究是思想史研究中常見的主題型態，舉凡是《論語》中的「仁」、《老子》中的「道」、《墨子》中的「義」和「利」、《荀子》中的「禮」，宋代程朱理學中的「性」、「理」、「格物」、「致知」，明代王陽明的「良知」，都是學者研究的焦點。就最近學界而言，則有楊儒賓專注於「氣」、「身體」的研究，以及他所召集的「自然」研究羣；還有不同學者對於「公」、「私」的研究。但在數位文本充足的今日，傳統研究除了善用全文檢索外，還可以怎麼利用數位工具來豐富自己的研究，也是人文學者可以思考的問題。就此而言，政治大學鄭文惠與金觀濤合作的中國近代思想及文學史專業資料庫的建置開發，帶來了一波關鍵詞研究的高潮；並且進一步，從事關鍵詞叢的研究，也就是一齊觀察一羣常常一起出現的關鍵詞。但是，古典思想史研究則限於既有商業開發資料庫的功能限定，很少見到類似的研究，實屬可惜。但近幾年來，台大數位人文中心開發的DocuSky(https://docusky.org.tw)、中研院數位文化中心所開發的數位人文研究平台(https://dh.ascdc.sinica.edu.tw)，或是英國學者Donald Sturgeon(德龍)所開發的CText文本探勘工具(https://ctext.org/plugins/texttools)，都提供多種樣式的關鍵詞研究工具；漢文佛藏則有法鼓文理學院所開發的CBETA數位研究平台(https://cbeta-rp.dila.edu.tw/)。個人線下研究平台則有台灣大學生物產業傳播暨發展學系闕河嘉團隊所開發的庫博（CORPRO，http://nlp.cse.ntou.edu.tw/CORPRO/）。研究者只要自己準備數位文本，這些平台、工具都能在資料整理、觀察上提供人力所無法比擬的效能。台北大學袁光儀不久前發表的一篇關鍵詞研究論文〈知識與知覺之歧義及辯爭—藉由詞頻數據重探王龍溪的「知、識之辨」論題〉就是利用CText的研究工具所完成的。本次學報的前近代思想史專題，將以「關鍵詞」的主題型態徵稿，符合此一主題的論文稿件，在審查通過後將優先在本期刊出。具體的擬題方向，請參考下列子題：

一、關鍵詞研究的學術史回顧：(1)對於關鍵詞研究提出方法論的檢討，例如關鍵詞研究和其它思想史的研究方法有何異同，又有什麼優勢與缺點；(2)對於一個領域的關鍵詞研究的回顧與綜論，例如儒學、理學、玄學、道教、宋明佛學、先秦思想等領域。
二、長時段關鍵詞變化的題目：(1)比較各個領域中較長時段中的關鍵詞變化情況及其意義，如玄學前後期的關鍵詞比較、理學前後期的關鍵詞比較；(2)一個關鍵詞的長時段的變化，如「知」在儒學史中的變化。
三、不同學派、思想家、著作關鍵詞比較的題目：如理學的心、性和佛教的心、性；王畿的悟與慧能的悟等等。
四、尚未被充分研究的重要關鍵詞。
五、對既有關鍵詞研究成果的重大修正。

本專題預計於2025年12月出刊。敬邀海內外學界先進惠賜鴻文，截稿時間為2025年1月15日。

對於從數位文本中擷取關鍵詞，如有技術問題，可以與祝平次 ptchu@mx.nthu.edu.tw 聯絡；但範圍僅限於線上可取得的數位文本，如上文所說的CText或是Kanripo(https://www.kanripo.org/)中所收的漢籍。

參考資料：
Google公司利用它所收集的書籍、數位資料，所推出的Google Ngram Viewer（https://books.google.com/ngrams/）可以幫助使用者很快嘗握到一些語詞概念出現頻率的變化。

Editorial Report for Issue 31

I. Publication of Issue 31 of the Tsing Hua Journal of Chinese Literature 
Issue 31 of the Tsing Hua Journal of Chinese Literature was published in June 2024. 

II. Ongoing Call for Papers
The Tsing Hua Journal of Chinese Literature welcomes submissions from scholars worldwide, including doctoral candidates. Manuscripts are accepted year-round and reviewed upon receipt.

Hard-copy manuscripts may be sent to:
Department of Chinese Literature
National Tsing Hua University
No. 101, Section 2, Kuang-Fu Road
Hsinchu City 300044, Taiwan

Electronic submissions may be sent to: thjcl@my.nthu.edu.tw

III. Call for Papers for Special Issue: Keyword Studies in Intellectual History
Keyword studies have long constituted an important approach to intellectual history. Concepts such as ren 仁 in the Analects, dao 道 in the Laozi, yi 義 and li 利 in the Mozi, and li 禮 in the Xunzi have all attracted sustained scholarly attention. The same is true of such key terms as xing 性, li 理, gewu 格物, and zhizhi 致知 in the Cheng-Zhu school of Neo-Confucianism, as well as liangzhi 良知 in the thought of Wang Yangming.

More recent scholarship includes Yang Rur-bin’s studies of qi 氣 and the body, the research group on “nature” that he convened, and studies by various scholars of the concepts of the public and the private. In an age of abundant digital texts, however, scholars may consider how digital tools, beyond conventional full-text searches, can further enrich traditional humanistic research.

The development of the Database for the Study of Modern Chinese Intellectual and Literary History, a collaborative project between Cheng Wen-hui of National Chengchi University and Jin Guantao, contributed to a new wave of keyword studies. It also encouraged the study of keyword clusters—that is, groups of terms that frequently occur together. Comparable work in premodern intellectual history, however, has remained relatively limited because of the restricted functions of existing commercial databases.

In recent years, a number of platforms have made more varied forms of keyword analysis possible. These include DocuSky, developed by the Research Center for Digital Humanities at National Taiwan University; the Digital Humanities Research Platform developed by the Academia Sinica Center for Digital Cultures; the CText Text Tools developed by Donald Sturgeon; and, for Chinese Buddhist texts, the CBETA Research Platform developed by Dharma Drum Institute of Liberal Arts. For offline research, CORPRO, developed by a team led by Que He-jia at National Taiwan University, is also available. Provided that researchers prepare their own digital corpora, these platforms and tools can greatly enhance the organization and analysis of textual data.

A recent example is Yuan Guang-yi’s article, “The Ambiguity and Contestation of Knowledge and Perception: Reconsidering Wang Longxi’s Distinction between Zhi and Shi through Word-Frequency Data,” which was completed using the CText research tools.

This special issue on premodern intellectual history invites submissions centered on keyword studies. Papers that fall within this scope and pass peer review will be given priority for publication in the issue. Suggested topics include the following:

I. Historiographical and Methodological Reviews of Keyword Studies: Methodological examinations of keyword studies, including their similarities to and differences from other approaches to intellectual history, as well as their strengths and limitations.
Reviews and syntheses of keyword studies in particular fields, such as Confucianism, Neo-Confucianism, Dark Learning, Daoism, Song–Ming Buddhism, and pre-Qin thought.

II. Long-Term Changes in Keywords: Comparative studies of changes in keywords over extended periods and their significance, such as comparisons between the early and later phases of Dark Learning or Neo-Confucianism.
Studies tracing the historical transformation of a single keyword, such as changes in the concept of zhi 知 throughout the history of Confucianism.

III. Comparative Studies of Keywords across Schools, Thinkers, and Texts: Examples include comparisons between xin 心 and xing 性 in Neo-Confucianism and Buddhism, or between Wang Ji’s understanding of wu 悟 and that of Huineng.

IV. Important Keywords That Have Not Yet Received Sufficient Scholarly Attention

V. Major Revisions of Existing Keyword Studies

The special issue is scheduled for publication in December 2025. Scholars worldwide are invited to submit manuscripts by January 15, 2025.

For technical questions concerning the extraction of keywords from digital texts, please contact Chu Ping-tzu at ptchu@mx.nthu.edu.tw. Assistance is limited to digital texts available online, including Chinese texts contained in CText and Kanripo.

Digital Research Platforms

DocuSky: https://docusky.org.tw
Digital Humanities Research Platform: https://dh.ascdc.sinica.edu.tw
CText Text Tools: https://ctext.org/plugins/texttools
CBETA Research Platform: https://cbeta-rp.dila.edu.tw
CORPRO: http://nlp.cse.ntou.edu.tw/CORPRO/
Kanripo: https://www.kanripo.org/

Reference Tool

Using its collection of digitized books and other textual materials, Google developed Google Ngram Viewer, which enables users to identify changes in the frequency of particular words and concepts over time:

https://books.google.com/ngrams/