An Effect of Background Population Sample Size on the Performance of a Likelihood Ratio-based Forensic Text Comparison System: A Monte Carlo Simulation with Gaussian Mixture Model

Shunichi Ishihara


Anthology ID:
U16-1012
Volume:
Proceedings of the Australasian Language Technology Association Workshop 2016
Month:
December
Year:
2016
Address:
Melbourne, Australia
Editor:
Trevor Cohn
Venue:
ALTA
SIG:
Publisher:
Note:
Pages:
113–121
Language:
URL:
https://aclanthology.org/U16-1012
DOI:
Bibkey:
Cite (ACL):
Shunichi Ishihara. 2016. An Effect of Background Population Sample Size on the Performance of a Likelihood Ratio-based Forensic Text Comparison System: A Monte Carlo Simulation with Gaussian Mixture Model. In Proceedings of the Australasian Language Technology Association Workshop 2016, pages 113–121, Melbourne, Australia.
Cite (Informal):
An Effect of Background Population Sample Size on the Performance of a Likelihood Ratio-based Forensic Text Comparison System: A Monte Carlo Simulation with Gaussian Mixture Model (Ishihara, ALTA 2016)
Copy Citation:
PDF:
https://aclanthology.org/U16-1012.pdf