主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

JOURNAL OF BEIJING UNIVERSITY OF TRADITIONAL CHINESE MEDICINE ›› 2019, Vol. 42 ›› Issue (12): 998-1005.doi: 10.3969/j.issn.1006-2157.2019.12.006

• Textual Research • Previous Articles     Next Articles

Digitalization of ancient books of traditional Chinese medicine with corrections and annotations*

Wen Yongyi, Li Yajun#, Wang Zhimei   

  1. School of Foreign Languages, Shaanxi University of Chinese Medicine, Shaanxi 712046, China
  • Received:2019-06-06 Online:2019-12-30 Published:2020-01-06
  • Contact: Prof. Li Yajun, Shaanxi University of Chinese Medicine. No.1, Middle Xixian Avenue, Xixian New District, Xianyang 712046. E-mail:415199731@qq.com

Abstract: As digitalization is the prerequisite for the application of big data analysis methodology, it is necessary for us to transform ancient books of Traditional Chinese Medicine with Corrections and Annotations (TCMCA) into various data types if we intend to attract more readers to use TCMCA and to encourage more research projects to be based on TCMCA. Thereby, this paper mainly discusses possible approaches to digitalize TCMCA, including corrected texts, types of source-target substitution and target texts, paving the way for analyzing ancient books with big bate.

Key words: ancient books of traditional Chinese medicine, corrections and annotations, digitalization, big data, corpus

CLC Number: 

  • R2-03