Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods

Conference contribution
(Original article)


Publication Details

Author(s): Proisl T, Evert S, Jannidis F, Schöch C, Konle L, Pielström S
Editor(s): Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T
Publisher: European Language Resources Association
Publishing place: Miyazaki
Publication year: 2018
Conference Proceedings Title: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Pages range: 3309–3314
ISBN: 979-10-95546-00-9
Language: English


Abstract

Delta measures are a well-established and popular family of authorship
attribution methods, especially for literary texts. N-gram tracing is a
novel method for authorship attribution designed for very short texts,
which has its roots in forensic linguistics. We evaluate the performance
of both methods in a series of experiments on English, French and
German literary texts, in order to investigate the relationship between
authorship attribution accuracy and text length as well as the
composition of the comparison corpus. Our results show that, at least in
our setting, both methods require relatively long texts and are
furthermore highly sensitive to the choice of authors and texts in the
comparison corpus.



FAU Authors / FAU Editors

Evert, Stefan Prof. Dr.
Lehrstuhl für Korpus- und Computerlinguistik
Proisl, Thomas
Lehrstuhl für Korpus- und Computerlinguistik


External institutions with authors

Julius-Maximilians-Universität Würzburg
Universität Trier


How to cite

APA:
Proisl, T., Evert, S., Jannidis, F., Schöch, C., Konle, L., & Pielström, S. (2018). Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods. In Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T (Eds.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (pp. 3309–3314). Miyazaki, JP: Miyazaki: European Language Resources Association.

MLA:
Proisl, Thomas, et al. "Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods." Proceedings of the 11th Language Resources and Evaluation Conference, Miyazaki Ed. Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, Miyazaki: European Language Resources Association, 2018. 3309–3314.

BibTeX: 

Last updated on 2018-11-08 at 02:59