JCLC 5.2 Special Issue Data Repository1 min read

JCLC 5.2 is a special issue entitled “Digital Methods and Traditional Chinese Literary Studies.” Since online repositories let one check the sources underlying a claim, trace its steps, and re-examine its conclusions if necessary, we have created a data repository for each of the articles in JCLC 5.2, where readers may download original datasets, technical appendices, and related documentation. In this way, we attempt to model openness in our scholarship—a practice that is already ascendant in some circles, and one that we hope may become ubiquitous.  [Quoted from “Introduction,” JCLC Special Issue 5.2]

Below please find links to the dataset and related files for each article in JCLC 5.2.


Digital Approaches to Text Reuse in the Early Chinese Corpus
DONALD STURGEON

Dataset   Figures   Appendices


Drawing out the Essentials: Historiographic Annotation as a Textual Network
EVAN NICOLL-JOHNSON

Dataset   Figures   Appendices


Describing Objects in Tang Dynasty Poetic Language: a Study Based on Word Embeddings
MARIANA ZORKINA

Figures 1-5 (Appeared in Printed Manuscript)

Appendix: Technical Details

Selection of Objects: 93 words


Exploring Chinese Poetry with Digital Assistance: Examples from Linguistic, Literary, and Historical Viewpoints
CHAO-LIN LIU, THOMAS MAZANEC, JEFFREY THARSEN

Dataset   Figures   Appendices


Networks of Exchange Poetry in Late Medieval China: Notes Toward a Dynamic History of Tang Literature
THOMAS MAZANEC

Dataset   Figures   Appendices


Geographic Distribution and Change in Tang Poetry: Data Analysis from the “Chronological Map of Tang-Song Literature”
WANG ZHAOPENG, QIAO JUNJUN
THOMAS MAZANEC, translator

Dataset   Figures   Appendices


Visualizing Alternative Literary Canons in Ming Dynasty China (1368-1644): A Preliminary Case Study
TIMOTHY ROBERT CLIFFORD

Dataset   Figures   Appendices


New Frontiers of Electronic Textual Research in the Humanities: Investigating Classical Allusions in Chinese Poetry through Digital Methods
YI-LONG HUANG, BINGYU ZHENG

Dataset   Figures   Appendices