The article is devoted to description of a newly developed linguistic automaton module for text attribution. Different methods for combining lexical, morphological and syntactical parameters are presented in their comparison. An evaluation of logical design and functional techniques of the new module using the pattern recognition technology is presented in its application to the provocative checking of the challengeable authorship of the novel "Quiet Flows the Don" ascribed traditionally to the Nobel Prize winner Mikhail Sholokhov.
Cite as: Marusenko, M.A., Piotrowski, R.H., Romanov, Y.V. (2004) NLP and attribution of pseudonymic texts: who is really the author of the "quiet flows the don". Proc. 9th Conference on Speech and Computer (SPECOM 2004), 423-427
@inproceedings{marusenko04_specom,
author={Michail A. Marusenko and Rajmund H. Piotrowski and Yuri V. Romanov},
title={{NLP and attribution of pseudonymic texts: who is really the author of the "quiet flows the don"}},
year=2004,
booktitle={Proc. 9th Conference on Speech and Computer (SPECOM 2004)},
pages={423--427}
}