Paper: Linguistic Profiling For Authorship Recognition And Verification

ACL ID P04-1026
Title Linguistic Profiling For Authorship Recognition And Verification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

A new technique is introduced, linguistic profiling, in which large numbers of counts of linguistic features are used as a text profile, which can then be compared to average profiles for groups of texts. The technique proves to be quite effective for authorship verification and recogni- tion. The best parameter settings yield a False Accept Rate of 8.1% at a False Re- ject Rate equal to zero for the verification task on a test corpus of student essays, and a 99.4% 2-way recognition accuracy on the same corpus.