Лингвистическое моделирование как основа для создания полуавтоматического атрибуционного алгоритма

Abstract

В настоящей статье предлагается интегративный подход к решению задач текстовой атрибуции.

This paper discusses the testing procedure and results of an integrative attribution analysis algorithm. It is based on the analysis of the individual style of an author of a written text via the methods of interpretative linguistics and further objectification of the data received through the usage of mathematical statistics methods. The algorithm solves the identification problem of authorship attribution. The choice of the parameters describing the author's individual style is based on the interpretation of the text as a product of an authentic linguistic personality.