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A Forensic Authorship Classification in SMS Messages: A Likelihood Ratio Based Approach Using N-gram

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

Due to its convenience and low–cost, short message service (SMS) has been a very popu- lar medium for communication for quite some time. Unfortunately, however, SMS messages are sometimes used …...

28367

Aggregation methods for efficient collocation detection

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractIn this article we propose a rank aggregation method for the task of collocations detection. It consists of applying some well-known methods (e.g. Dice method, chi-square test, z-test and likelihood …...

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Likelihood Ratio-based Forensic Voice Comparison on L2 speakers: A Case of Hong Kong native male production of English vowels

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

This study is a pilot research that explores the effectiveness of a likelihood ratio (LR)-based forensic voice comparison (FVC) system built on non-native speech production. More spe- cifically, it looks …...

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Stability of Forensic Text Comparison System

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

This study investigates how the reliability of likelihood ratio (LR)-based forensic text comparison (FTC) systems is affected by the sampling variability regarding author numbers in databases. When 30–40 authors (each …...

28395