Computing Stylistics and Corpus Linguistics for Author Identification

By Katerina T. Frantzi.

Published by The Social Sciences Collection

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

We apply corpus linguistics techniques and stylistics knowledge on forensic writings for the semi-automatic acquisition of features that characterize them.

Keywords: Corpus Linguistics, Stylistics, Author Identification, Forensic Linguistics

The International Journal of Interdisciplinary Social Sciences, Volume 1, Issue 3, pp.69-78. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.813MB).

Dr. Katerina T. Frantzi

Katerina T .Frantzi is an Assistant Professor in Computational Linguistics in the Department of Mediterranean Studies at the University of the Aegean, Greece. She graduated from the Department of Informatics and Telecommunications, National and Kapodistriako University of Athens, Greece, and got her Ph.D. from Manchester Metropolitan University in collaboration with University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K. In recognition of her Ph.D. Thesis entitled “Automatic Recognition of Multi-Word Terms” she won the “Certificate for Outstanding Achievement in Applied Research and Development in the field of Terminology” by the International Information Centre for Terminology – INFOTERM. She has worked as a research associate at the Language Engineering Department at UMIST and as a visiting researcher at Research and Development, Communication Science Department, Nippon Telegraph and Telephone Corporation (NTT) at Yokosuka, Japan. She has created “C-value” a language-independent method and tool for term and collocation recognition, applied and used in various languages. Her teaching experience involves Computational Linguistics, Corpus Linguistics, Computational Lexicography and Terminology, Machine Translation, Statistics, Programming and Mathematics. Her research interests include Corpus Linguistics, Forensic Linguistics and the use and application of Technology in Social Sciences.

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