We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
A likelihood ratio-based evaluation of strength of authorship attribution evidence in SMS messages using N-grams.
- Authors
Shunichi Ishihara
- Abstract
An experiment in forensic text comparison (FTC) within the likelihood ratio (LR) framework is described. The experiment attempts to determine the strength of authorship attribution evidence modelled with N-grams, which is perhaps one of the most basic automatic modelling techniques. The SMS messages of multiple authors selected from the SMS corpus compiled by the National University of Singapore were used for sameand different-author comparisons. The number of words used for the N-gram modelling was varied (200, 1000, 2000 or 3000 words), and then the performance of each set was assessed. The performance of the LR-based FTC system was assessed with the log likelihood ratio cost (Cllr). It is shown in this study that N-grams can be employed within an LR framework to discriminate same-author and different-author SMS texts, but a fairly large amount of data are needed to do it well (i.e. to obtain Cllr < 0.75). It is concluded that the LR framework warrants further examination with different features and processing techniques.
- Subjects
ATTRIBUTION of authorship; LIKELIHOOD ratio tests; TEXT messages; NATIONAL University of Singapore; WARRANTS (Law)
- Publication
International Journal of Speech, Language & the Law, 2014, Vol 21, Issue 1, p23
- ISSN
1748-8885
- Publication type
Article
- DOI
10.1558/ijsll.v21i1.23