ŠVEC, Ján and Jan RYGL. Slavonic Corpus for Stylometry Research. In Proceedings of Ninth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2015. 1st ed. Brno (Czech Republic. Brno: Tribun EU, 2015, p. 11-21. ISBN 978-80-263-0974-1.
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Basic information
Original name Slavonic Corpus for Stylometry Research
Authors ŠVEC, Ján (703 Slovakia, guarantor, belonging to the institution) and Jan RYGL (203 Czech Republic, belonging to the institution).
Edition 1st ed. Brno (Czech Republic. Brno, Proceedings of Ninth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2015. p. 11-21, 11 pp. 2015.
Publisher Tribun EU
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW conference page article
RIV identification code RIV/00216224:14330/15:00085135
Organization unit Faculty of Informatics
ISBN 978-80-263-0974-1
ISSN 2336-4289
Keywords in English stylometry; slavonic corpus; web structure detection; corpora building
Changed by Changed by: RNDr. Jan Rygl, učo 208072. Changed: 7/6/2021 17:57.
Abstract
Stylometry techniques such as authorship recognition, machine translation detection and pedophile identification are daily used in applications for the most widely used languages. But under-represented languages lack data sources usable for stylometry research. In this paper, we propose an 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 crawling and data-cleaning techniques for purposes of stylometry field and add heuristic layer to detect and extract meta-information. The system was used on Czech and Slovak web domains to build a Slavonic corpus for stylometry research. Collected data have been published and we are planning to build collections for other languages and gradually extend existing ones.
Links
LM2010013, research and development projectName: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin)
Investor: Ministry of Education, Youth and Sports of the CR
PrintDisplayed: 24/8/2024 17:21