Title
Detecting Pseudepigraphic Texts Using Novel Similarity Measures
Abstract
The identification of pseudepigraphic texts-texts not written by the authors to which they are attributed-has important historical, forensic, and commercial applications. Any method for identifying such pseudepigrapha must ultimately depend on some measure of a given document's similarity to the other documents in a corpus. We show that for this purpose, second-order document similarity measures taken from the authorship verification literature strongly outperform standard document similarity measures commonly used for outlier identification. We apply these improved methods to two famous corpora suspected of including pseudepigrapha: Shakespeare's plays and Pauline epistles.
Year
DOI
Venue
2018
10.1093/llc/fqx011
DIGITAL SCHOLARSHIP IN THE HUMANITIES
DocType
Volume
Issue
Journal
33
1
ISSN
Citations 
PageRank 
2055-7671
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
moshe koppel11532179.94
Shachar Seidman2131.38