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Text Editing Software Application Programma’s Edit within Software Complex PFuzClass of Fuzzy Genealogical Classification to Address Textological Issues
Shpirko Sergey

PhD in Physics and Mathematics

Associate Professor, Moscow State Historical Archives Institute, Russian State University for the Humanities

119313, Russia, g. Moscow, ul. Leninskii Prospekt, 88 korpus 3, kv. 122

shpirkos@mail.ru
Другие публикации этого автора
 

 
Nesterov Andrei Yurievich

Bachelor of information science

5 Vorontsovskie Prudy ul., Moscow, Russia, 117630

andrei.nesterov@gmx.com

Abstract.

The authors demonstrate opportunities and discuss prospects of a new text editing software application of similar origin and general structure. This application is developed to be integrated within a program of fuzzy genealogical classification. The research focus is medieval texts which have long been in use and have been preserved in many variants. The study aims at searching links between different variants of texts that are hidden to experts and their presentation for further expert evaluation. Such an approach adapts and develops fuzzy sets theory means and thus lets us single out close groups within the variants preserved and genealogically link them to any reliability degree desired. The classification proposed bases not only on quantitative data (number of variant readings, texts proximity coefficients), but qualitative parameters as well (weight coefficients of variant readings) accounting for their importance for textological classification that has been ignored in formalized approaches before. Successful work of this software application is sure to provide a researcher with a powerful and handy tool to compare and analyze numerous medieval texts with the help of algorithm based mathematical methods.

Keywords: text editing, collation of manuscripts, lemmatization, tokenization, fuzzy classification, genealogical relations, contamination , typology, longest common subsequence, weight coefficients

DOI:

10.7256/2585-7797.2017.4.24627

Article was received:

16-11-2017


Review date:

09-11-2017


Publish date:

29-12-2017


This article written in Russian. You can find full text of article in Russian here .

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