@inproceedings{todirascu-etal-2012-french,
title = "{F}rench and {G}erman Corpora for Audience-based Text Type Classification",
author = "Todirascu, Amalia and
Pad{\'o}, Sebastian and
Krisch, Jennifer and
Kisselew, Max and
Heid, Ulrich",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/518_Paper.pdf",
pages = "1591--1597",
abstract = "This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types. We describe the design principles and the properties of the French and German linguistically annotated corpora that we have created. We report on tools used to collect the data and on the quality of the syntactic annotation. The CLASSYN corpora comprise two text collections to investigate general text types difference between scientific and popular science text on the two domains of medical and computer science.",
}
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%0 Conference Proceedings
%T French and German Corpora for Audience-based Text Type Classification
%A Todirascu, Amalia
%A Padó, Sebastian
%A Krisch, Jennifer
%A Kisselew, Max
%A Heid, Ulrich
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F todirascu-etal-2012-french
%X This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types. We describe the design principles and the properties of the French and German linguistically annotated corpora that we have created. We report on tools used to collect the data and on the quality of the syntactic annotation. The CLASSYN corpora comprise two text collections to investigate general text types difference between scientific and popular science text on the two domains of medical and computer science.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/518_Paper.pdf
%P 1591-1597
Markdown (Informal)
[French and German Corpora for Audience-based Text Type Classification](http://www.lrec-conf.org/proceedings/lrec2012/pdf/518_Paper.pdf) (Todirascu et al., LREC 2012)
ACL