Title :
Neural networks and disputed authorship: new challenges
Author :
Singh, S. ; Tweedie, F.J.
Author_Institution :
Univ. of the West of England, UK
Abstract :
The paper examines a new application of neural networks to a field of statistical linguistics where we believe they have a major role to play, that of determining disputed authorship. Problems involving disputed authorship arise in many practical situations, from the detection of plagiarism to legal issues such as disputed confessions (D. Canter, 1992; B. Niblett and J. Boreham, 1976). There is a strong need to bridge the gap between artificial intelligence and statistics in this area
Keywords :
computational linguistics; linguistics; neural nets; statistical analysis; word processing; artificial intelligence; disputed authorship; disputed confessions; legal issues; neural networks; plagiarism; statistical linguistics; statistics; stylometry;
Conference_Titel :
Artificial Neural Networks, 1995., Fourth International Conference on
Conference_Location :
Cambridge
Print_ISBN :
0-85296-641-5
DOI :
10.1049/cp:19950523
