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Slavonic Corpus for Stylometry Research

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00085135" target="_blank" >RIV/00216224:14330/15:00085135 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Slavonic Corpus for Stylometry Research

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of Ninth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2015.

  • ISBN

    9788026309741

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    11-21

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka, Czech Republic

  • Event date

    Dec 4, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article