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    <titleInfo>
        <title>Tools for Collocation Extraction: Preferences for Active vs. Passive</title>
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    <name type="personal">
        <namePart type="given">Ulrich</namePart>
        <namePart type="family">Heid</namePart>
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        <namePart type="given">Marion</namePart>
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            <title>Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)</title>
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        <name type="personal">
            <namePart type="given">Nicoletta</namePart>
            <namePart type="family">Calzolari</namePart>
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        <name type="personal">
            <namePart type="given">Khalid</namePart>
            <namePart type="family">Choukri</namePart>
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        <name type="personal">
            <namePart type="given">Bente</namePart>
            <namePart type="family">Maegaard</namePart>
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            <namePart type="given">Joseph</namePart>
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        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Odijk</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Stelios</namePart>
            <namePart type="family">Piperidis</namePart>
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        <name type="personal">
            <namePart type="given">Daniel</namePart>
            <namePart type="family">Tapias</namePart>
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            <publisher>European Language Resources Association (ELRA)</publisher>
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    <abstract>We present and partially evaluate procedures for the extraction of noun+verb collocation candidates from German text corpora, along with their morphosyntactic preferences, especially for the active vs. passive voice. We start from tokenized, tagged, lemmatized and chunked text, and we use extraction patterns formulated in the CQP corpus query language. We discuss the results of a precision evaluation, on administrative texts from the European Union: we find a considerable amount of specialized collocations, as well as general ones and complex predicates; overall the precision is considerably higher than that of a statistical extractor used as a baseline.</abstract>
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%0 Conference Proceedings
%T Tools for Collocation Extraction: Preferences for Active vs. Passive
%A Heid, Ulrich
%A Weller, Marion
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F heid-weller-2008-tools
%X We present and partially evaluate procedures for the extraction of noun+verb collocation candidates from German text corpora, along with their morphosyntactic preferences, especially for the active vs. passive voice. We start from tokenized, tagged, lemmatized and chunked text, and we use extraction patterns formulated in the CQP corpus query language. We discuss the results of a precision evaluation, on administrative texts from the European Union: we find a considerable amount of specialized collocations, as well as general ones and complex predicates; overall the precision is considerably higher than that of a statistical extractor used as a baseline.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/323_paper.pdf

Markdown (Informal)

[Tools for Collocation Extraction: Preferences for Active vs. Passive](http://www.lrec-conf.org/proceedings/lrec2008/pdf/323_paper.pdf) (Heid & Weller, LREC 2008)

• Tools for Collocation Extraction: Preferences for Active vs. Passive (Heid & Weller, LREC 2008)

ACL

• Ulrich Heid and Marion Weller. 2008. Tools for Collocation Extraction: Preferences for Active vs. Passive. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).