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Corpus Annotation Pipeline for Non-standard Texts

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00104585" target="_blank" >RIV/00216224:14330/18:00104585 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-00794-2_32" target="_blank" >http://dx.doi.org/10.1007/978-3-030-00794-2_32</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-00794-2_32" target="_blank" >10.1007/978-3-030-00794-2_32</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Corpus Annotation Pipeline for Non-standard Texts

  • Original language description

    According to some estimations (e.g. [9]), web corpora contain over 6% of foreign material (borrowings, language mixing, named entities). Since annotation pipelines are usually built upon standard and correct data, the resulting annotation of web corpora often contains serious errors. We studied in depth annotation errors of the web corpus czTenTen 12 and proposed an extension to the tagger desamb that had been used for czTenTen annotation. First, the subcorpus was made using the most problematic documents from czTenTen. Second, measures were established for the most frequent annotation errors. Third, we established several experiments in which we extended the annotation pipeline so it could annotate foreign material and multi-word expressions. Finally, we compared the new annotations of the subcorpus with the original ones.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Text, Speech, and Dialogue, 21st International Conference, TSD 2018

  • ISBN

    9783030007942

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    304-312

  • Publisher name

    Springer International Publishing

  • Place of publication

    Switzerland

  • Event location

    Brno, Czech Republic

  • Event date

    Jan 1, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000611532300032