Chinese Text Project
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Chinese Text Project
Chinese Text Project
Chinese Text Project.jpg
Type of site
Digital library
Available inEnglish and Chinese
OwnerDonald Sturgeon
Created byDonald Sturgeon
Alexa rankPositive decrease 38,208 (November 2016)[1]
Registrationrequired to contribute
Current statusactive
Chinese Text Project
Traditional Chinese?
Simplified Chinese?
Literal meaningThe Chinese Philosophical Book Digitization Project

The Chinese Text Project (CTP; Chinese: ?) is a digital library project that assembles collections of early Chinese texts. The name of the project in Chinese literally means "The Chinese Philosophical Book Digitization Project", showing its focus on books related to Chinese philosophy. It aims at providing accessible and accurate versions of a wide range of texts,[2] particularly those relating to Chinese philosophy, and the site is credited with providing one of the most comprehensive and accurate collections of classical Chinese texts on the Internet,[3][4] as well as being one of the most useful textual databases for scholars of early Chinese texts.[5][6]

Site contents

Texts are divided into pre-Qin and Han texts, and post-Han texts, with the former categorized by school of thought and the latter by dynasty. The ancient (pre-Qin and Han) section of the database contains over 5 million Chinese characters, the post-Han database over 20 million characters, and the publicly editable wiki section over 5 billion characters.[7] Many texts also have English and Chinese translations, which are paired with the original text paragraph by paragraph as well as phrase by phrase for ease of comparison; this makes it possible for the system to be used as a useful scholarly research tool even by students with little or no knowledge of Chinese.[8]

As well as providing customized search functionality suited to Chinese texts,[9][10] the site also attempts to make use of the unique format of the web to offer a range of features relevant to sinologists, including an integrated dictionary, word lists, parallel passage information,[11] scanned source texts, concordance and index data,[12] a metadata system, Chinese commentary display,[13] a published resources database, and a discussion forum in which threads can be linked to specific data on the site.[14][15] The "Library" section of the site also includes scanned copies of over 25 million pages of early Chinese texts,[16][7] linked line by line to transcriptions in the full-text database, many creating using Optical Character Recognition,[17] and edited and maintained using an online crowd-sourcing wiki system.[18][19] Textual data and metadata can also be exported using an Application Programming Interface, allowing integration with other online tools as well as use in text mining and digital humanities projects.[18][20]


  1. ^ " Site Info". Alexa Internet. Retrieved .
  2. ^ Elman, Benjamin A. "Classical Historiography for Chinese History: Databases & electronic texts". Princeton University. Archived from the original on August 5, 2016. Retrieved 2016.
  3. ^ "Association of Chinese Philosophers in North America (?)". Archived from the original on 2010-12-25. Retrieved .
  4. ^ Chris Fraser, Department of Philosophy, University of Hong Kong
  5. ^
  6. ^
  7. ^ a b
  8. ^ Connolly, Tim (2012). "Learning Chinese Philosophy with Commentaries". Teaching Philosophy. Philosophy Documentation Center. 35 (1): 1-18. doi:10.5840/teachphil20123511.
  9. ^
  10. ^
  11. ^ Sturgeon, Donald (2017). "Unsupervised identification of text reuse in early Chinese literature". Digital Scholarship in the Humanities. Oxford University Press. Retrieved 2017.
  12. ^ Xu, Jiajin (2015). "Corpus-based Chinese studies: A historical review from the 1920s to the present". Chinese Language and Discourse. John Benjamins Publishing Company. 6 (2): 218-244. doi:10.1075/cld.6.2.06xu.
  13. ^ Adkins, Martha A. (2016). "Web Review: Online Resources for the Study of Chinese Religion and Philosophy". Theological Librarianship. American Theological Library Association. 9 (2): 5-8. doi:10.31046/tl.v9i2.435.
  14. ^ Holger Schneider and Jeff Tharsen,
  15. ^
  16. ^
  17. ^ Sturgeon, Donald (2017). Unsupervised Extraction of Training Data for Pre-Modern Chinese OCR. The Thirtieth International Flairs Conference. AAAI. Retrieved 2017.
  18. ^ a b, China Policy Institute, University of Nottingham
  19. ^
  20. ^

External links

  This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.



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