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  • Using Automatic Morphological Tools to Process Data from a Learner Corpus of Hungarian

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    appsOther research productkeyboard_double_arrow_right Other ORP type 2014 Hungary, Finland English Publisher:Centre for Applied Language Studies, University of Jyväskylä
    Authors: Durst, Péter; Szabó, Martina Katalin; Vincze, Veronika; Zsibrita, János;

    The aim of this article is to show how automatic morphological tools originally used to analyze native speaker data can be applied to process data from a learner corpus of Hungarian. We collected written data from 35 students majoring in Hungarian studies at the University of Zagreb, Croatia. The data were analyzed by magyarlanc, a sentence splitter, morphological analyzer, POS-tagger and dependency parser, which found 667 unknown word forms. We investigated the recommendations made by the Hungarian spellchecker hunspell for these unknown words and the correct forms were manually chosen. It was found that if the first suggestion made by hunspell was automatically accepted, an accuracy score of 82% could be attained. We also introduce our automatic error tagger, which makes use of our annotation scheme developed on the basis of the special characteristics of Hungarian morphology and learner language, and which is able to reliably locate and label morphological errors. peerReviewed

    downloadFull-Text
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ SZTE Publicatio Repo...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    SZTE Publicatio Repozitórium - SZTE - Repository of Publications
    2014
    Full-Text: http://publicatio.bibl.u-szeged.hu/4745/1/using-automatic-morphological-tools-to-process-data-from-a-learner-corpus-of-hungarian.pdf
    Data sources: SZTE Publicatio Repozitórium - SZTE - Repository of Publications
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Jyväskylä University Digital Archive
    Other ORP type . 2014 . Peer-reviewed
    Full-Text: http://apples.jyu.fi
    Data sources: Jyväskylä University Digital Archive
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  • Using Automatic Morphological Tools to Process Data from a Learner Corpus of Hungarian

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    appsOther research productkeyboard_double_arrow_right Other ORP type 2014 Hungary, Finland English Publisher:Centre for Applied Language Studies, University of Jyväskylä
    Authors: Durst, Péter; Szabó, Martina Katalin; Vincze, Veronika; Zsibrita, János;

    The aim of this article is to show how automatic morphological tools originally used to analyze native speaker data can be applied to process data from a learner corpus of Hungarian. We collected written data from 35 students majoring in Hungarian studies at the University of Zagreb, Croatia. The data were analyzed by magyarlanc, a sentence splitter, morphological analyzer, POS-tagger and dependency parser, which found 667 unknown word forms. We investigated the recommendations made by the Hungarian spellchecker hunspell for these unknown words and the correct forms were manually chosen. It was found that if the first suggestion made by hunspell was automatically accepted, an accuracy score of 82% could be attained. We also introduce our automatic error tagger, which makes use of our annotation scheme developed on the basis of the special characteristics of Hungarian morphology and learner language, and which is able to reliably locate and label morphological errors. peerReviewed

    downloadFull-Text
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ SZTE Publicatio Repo...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    SZTE Publicatio Repozitórium - SZTE - Repository of Publications
    2014
    Full-Text: http://publicatio.bibl.u-szeged.hu/4745/1/using-automatic-morphological-tools-to-process-data-from-a-learner-corpus-of-hungarian.pdf
    Data sources: SZTE Publicatio Repozitórium - SZTE - Repository of Publications
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Jyväskylä University Digital Archive
    Other ORP type . 2014 . Peer-reviewed
    Full-Text: http://apples.jyu.fi
    Data sources: Jyväskylä University Digital Archive
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    citations0
    popularityAverage
    influenceAverage
    impulseAverage
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