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Classification of Errors in Text

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00038386" target="_blank" >RIV/00216224:14330/09:00038386 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification of Errors in Text

  • Original language description

    This paper presents two classifications of errors in Czech texts. As a basic resource we use the corpus (Chyby -- Errors) which has been continuously developed from 1999--2000 ([1]). The corpus text contains various kinds of errors such as spelling, typographical, grammatical, semantic, lexical, and stylistic ones. They have been corrected manually and annotated according to the classification of errors (annotation scheme) developed for this purpose. For the annotation we implemented a tool named WinCorr. We mention the first annotation scheme and discuss the second one which has been designed recently to obtain more adequate description of the errors occurring in texts. We also discuss the principles on which both classifications are based.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    RASLAN 2009 : Recent Advances in Slavonic Natural Language Processing

  • ISBN

    978-80-210-5048-8

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

  • Publisher name

    Masaryk University

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Jan 1, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article