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.
%0 Conference Paper
%1 todirascu12:_frenc_and_german_corpor_for
%A Todirascu, Amalia
%A Padó, Sebastian
%A Kisselew, Max
%A Krisch, Jennifer
%A Heid, Ulrich
%B Proceedings of LREC 2012
%C Istanbul, Turkey
%D 2012
%K conference myown
%T French and German corpora for audience-based text
classification
%U https://aclanthology.org/L12-1286/
%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.
@inproceedings{todirascu12:_frenc_and_german_corpor_for,
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.},
added-at = {2017-04-03T19:28:28.000+0200},
address = {Istanbul, Turkey},
author = {Todirascu, Amalia and Pad{\'o}, Sebastian and Kisselew, Max and Krisch, Jennifer and Heid, Ulrich},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/287759f636d3173b644e1d737181afe9e/sp},
booktitle = {Proceedings of LREC 2012},
interhash = {21a4d89c5e6083943193880c49aa7c00},
intrahash = {87759f636d3173b644e1d737181afe9e},
keywords = {conference myown},
timestamp = {2022-05-03T15:11:23.000+0200},
title = {French and {G}erman corpora for audience-based text
classification},
url = {https://aclanthology.org/L12-1286/},
year = 2012
}