Eng During last 365 days Approved articles: 1942,   Articles in work: 284 Declined articles: 828 
Articles and journals | Tariffs | Payments | Your profile

Back to contents

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

PhD in Physics and Mathematics

Associate Professor, Department of Mathematical Foundations of Management, Moscow Physics-Technical Institute (State University)

Leninsky prospekt 88/3, apt. 122, Moscow 119313 Russia



Nesterov Andrei Yurievich

Bachelor of information science

5 Vorontsovskie Prudy ul., Moscow, Russia, 117630



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



Article was received:


Review date:


Publish date:


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

Hockey S. A guide to computer applications in the Humanities. Baltimore and London, 1980. 248 P.
Oakman R. Computer methods for literary research. 2nd. rev. ed. Athens: University of Georgia Press, 1984. 235 P.
Hockey S. Electronic Texts in the Humanities: Principles and Practice. Oxford: Oxford University Press, 2000. 220 P.
Petty G. and Gibson M. Project OCCULT: The Oriented Computer Collation of Unprepared Literary Text. New York, 1970. 124 P.
Gilbert P. Automatic Collation: A Technique for Medieval Texts// Computers and the Humanities. Springer:1973. N 7. pp.130-147.
Froger J. La Critique des Textes et son Automatisation. Paris, 1968. 280 P.
Borodkin L.I., Milov L.V. O nekotorykh aspektakh avtomatizatsii tekstologicheskogo issledovaniya (Zakon Sudnyi lyudem)// Matematicheskie metody v istoriko-ekonomicheskikh i istoriko-kul'turnykh issledovaniyakh: sbornik statei. M., 1977. S. 235-280.
Zarri G. Algorythms, Stemmata Codicum and the Theories of Dom H. Quentin// The Computer and Literary Stidies/ ed. A. Aitken, R. Bailey and N. Hamilton-Smith. Edinbourgh, 1973. pp.225-237.
Quentin H. Essais de critique textuelle. Paris, 1926. 179 P.
Zarri G. Some Experiments in Automated Textual Criticism// Association for Literary and Linguistic Computing Bulletin. N 5. 1977. pp. 266-290.
Colwell E.C. and Tune E.W. The quantitative relationship between MS text-types// Biblical and patristic studies in memory of R.P. Casey/ Ed. by J.N. Birdsall and P.W. Thomson. Freiburg, 1963. pp. 25-32.
Alekseev A.A. Tekstologiya slavyanskoi biblii. Spb., 1999. 190 S.
Ott W. Electronic publishing und Editionen, Indizes, Wörterbücher: Anforderungen an Werkzeuge und Produkte// Literary and Linguistic Computing. 1999. N 14 pp. 423-430.
Robinson P. The Collation and Textual Criticism of Icelandic Manuscripts (1): Collation// Literary & Linguistic Computing. 1989. N 4(2). pp. 99-105.
Robinson P. and OHara R. Cladistic analysis of an Old Norse manuscript tradition// Research in Humanities Computing. N 4. 199. pp. 115137.
Prikladnaya i komp'yuternaya lingvistika/ red. I.S. Nikolaev, O.V. Mitrenin, T.M. Lando. M., 2106. 320 S.
Salemans B. Building Stemmas with the Computer in a Cladistic, Neo-Lachmanian Way. Nijmegen, 2000. 735 P.
Dees A. Sur une constellation de quatre manuscripts// Melanges de linguistique et de literature offertes a Lein Geschiere. Amsterdam, 1975. pp.1-9.
Griffith J. A Three-Dimensional Model for Classifying Arrays of Manuscripts by Cluster Analysis// Studia Patristica XV/ ed. E. Livingstone. Berlin, 1984. Part I. pp. 79-83.
Wattel E. Constructing Initial Binary Trees in Stemmatology// Studies in Stemmatology II/ ed. P. van Reenen, M. van Mulken. Amsterdam, 2004. pp. 145-166.
Zade L. Ponyatie lingvisticheskoi peremennoi i ego primenenie k prinyatiyu priblizhennykh reshenii. M., 1976. 165 C.
Shpirko S.V. Primenenie teorii nechetkikh mnozhestv k zadache genealogicheskoi klassifikatsii v tekstologicheskom issledovanii// Istoricheskaya informatika: Informatsionnye tekhnologii i matematicheskie metody v istoricheskikh issledovaniyakh. Barnaul, 2013. 3. S. 39-51.
Shpirko S.V., Barankova G.S. O nekotorykh aspektakh postroeniya formalizovannoi genealogicheskoi klassifikatsii tekstov spiskov srednevekovogo proizvedeniya s primeneniem teorii nechetkikh mnozhestv (na materiale Zakona Sudnogo lyudem)// Istoricheskii zhurnal: nauchnye issledovaniya. 2017. 1. S. 56-64.
Barankova G.S. Sborniki didakticheskogo kharaktera, obrashchennye k iereyam i miryanam// Drevnyaya Rus'. Voprosy medievistiki. M., 2013. 3 (53). S. 10-11.
Kormen T., Leizerson Ch., Rivest R., Shtain K. Algoritmy: postroenie i analiz. 2-e izd. M., 2007. 459 C.