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/lp/association-for-computing-machinery/author-verification-by-linguistic-profiling-an-exploration-of-the-rdD8zLqsK5
- Publisher
- Association for Computing Machinery
- Copyright
- The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
- Subject
- Linguistics
- ISSN
- 1550-4875
- DOI
- 10.1145/1187415.1187416
- Publisher site
- See Article on Publisher Site
Abstract
This article explores the effects of parameter settings in linguistic profiling, a technique 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. Although the technique proves to be quite effective for authorship verification, with the best overall parameter settings yielding an equal error rate of 3% on a test corpus of student essays, the optimal parameters vary greatly depending on author and evaluation criterion.
Journal
ACM Transactions on Speech and Language Processing (TSLP) – Association for Computing Machinery
Published: Jan 1, 2007