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        <title>Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the “Grammatical” Quality of a Corpus</title>
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        <namePart type="given">Cyril</namePart>
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            <namePart type="family">Calzolari</namePart>
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            <namePart type="given">Khalid</namePart>
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            <namePart type="given">Bente</namePart>
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            <namePart type="given">Joseph</namePart>
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            <namePart type="given">Daniel</namePart>
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    <abstract>We present in this article the methods we used for obtaining measures to ensure the quality and well-formedness of a text corpus. These measures allow us to determine the compatibility of a corpus with the treatments we want to apply on it. We called this method “certification of corpus”. These measures are based upon the characteristics required by the linguistic treatments we have to apply on the corpus we want to certify. Since the certification of corpus allows us to highlight the errors present in a text, we developed modules to carry out an automatic correction. By applying these modules, we reduced the number of errors. In consequence, it increases the quality of the corpus making it possible to use a corpus that a first certification would not have admitted.</abstract>
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%0 Conference Proceedings
%T Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the “Grammatical” Quality of a Corpus
%A Grouin, Cyril
%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 grouin-2008-certification
%X We present in this article the methods we used for obtaining measures to ensure the quality and well-formedness of a text corpus. These measures allow us to determine the compatibility of a corpus with the treatments we want to apply on it. We called this method “certification of corpus”. These measures are based upon the characteristics required by the linguistic treatments we have to apply on the corpus we want to certify. Since the certification of corpus allows us to highlight the errors present in a text, we developed modules to carry out an automatic correction. By applying these modules, we reduced the number of errors. In consequence, it increases the quality of the corpus making it possible to use a corpus that a first certification would not have admitted.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/280_paper.pdf

Markdown (Informal)

[Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the “Grammatical” Quality of a Corpus](http://www.lrec-conf.org/proceedings/lrec2008/pdf/280_paper.pdf) (Grouin, LREC 2008)

• Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the “Grammatical” Quality of a Corpus (Grouin, LREC 2008)

ACL

• Cyril Grouin. 2008. Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the “Grammatical” Quality of a Corpus. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).