Unsupervised identification of text reuse in early Chinese literature
- Submitting institution
-
University of Durham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 124066
- Type
- D - Journal article
- DOI
-
10.1093/llc/fqx024
- Title of journal
- Digital Scholarship in the Humanities
- Article number
- -
- First page
- 670
- Volume
- 33
- Issue
- 3
- ISSN
- 20557671
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2017
- URL
-
https://doi.org/10.1093/llc/fqx024
- Supplementary information
-
-
- Request cross-referral to
- 26 - Modern Languages and Linguistics
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
-
A - Innovative Computing
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In addition to the work described in the paper, the data produced have been integrated into an online, open access academic database of historical primary source material accessed by over 30,000 people each day (https://ctext.org; source: Google Analytics), making the results highly accessible to scholars working with related materials, as well as directly engaging with the general public.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -