Published June 1, 2021
| Version v1
Conference paper
Open
Cross-Register Authorship Attribution using Vernacular and Classical Chinese Texts
Creators
- 1. Indiana University Bloomington
- 2. Shanghai Normal University
Description
We propose to measure the difficulty of cross-register authorship attribution using vernacular and classical Chinese. We found inferring authorship of vernacular Chinese texts from classical Chinese pieces is challenging using standard authorship attribution models based on function word frequency.
Files
Cross_Register_Authorship_Attribution_using_Vernacular_and_Classical_Chinese_Texts_DHBenelux2021.pdf
Files
(4.6 MB)
Name | Size | Download all |
---|---|---|
Cross_Register_Authorship_Attribution_using_Vernacular_and_Classical_Chinese_Texts_DHBenelux2021.pdf
md5:f84c0de3daf003a2e4ed3a276c62df77
|
4.6 MB | Preview Download |