Building Corpora for Stylometric Research

ŠVEC, Ján and Jan RYGL. Building Corpora for Stylometric Research. In Petr Sojka; Aleš Horák; Ivan Kopeček; Karel Pala. Text, Speech, and Dialogue - 19th International Conference. Germany: Springer International Publishing, 2016, p. 20-27. ISBN 978-3-319-45509-9. Available from: https://dx.doi.org/10.1007/978-3-319-45510-5_3.

Basic information

Original name

Building Corpora for Stylometric Research

Authors

ŠVEC, Ján (703 Slovakia, belonging to the institution) and Jan RYGL (203 Czech Republic, guarantor, belonging to the institution)

Edition

Germany, Text, Speech, and Dialogue - 19th International Conference, p. 20-27, 8 pp. 2016

Publisher

Springer International Publishing

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/16:00090841

Organization unit

Faculty of Informatics

ISBN

978-3-319-45509-9

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-45510-5_3

UT WoS

000389707400003

Keywords (in Czech)

korpus; stylometrie; autorství; crawler

Keywords in English

corpus; stylometry; authorship; crawler

Tags

firank_B

Tags

International impact, Reviewed

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Abstract

V originále

Authorship recognition, machine translation detection, pedophile identification and other stylometry techniques are daily used in applications for the most widely used languages. On the other hand, under-represented languages lack data sources usable for stylometry research. In this paper, we propose novel algorithm to build corpora containing meta-information required for stylometry experiments (author information, publication time, document heading, document borders) and introduce our tool Authorship Corpora Builder (ACB). We modify data-cleaning techniques for purposes of stylometry field and add a heuristic layer to detect and extract valuable meta-information. The system was evaluated on Czech and Slovak web domains. Collected data have been published and we are planning to build collections for other languages and gradually extend existing ones.