LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

Conference Papers

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Title TyPTex: Inductive Typological Text Classification by Multivariate Statistical Analysis for NLP Systems Tuning/Evaluation

Authors Folch Helka (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, folch@ens-fcl.fr)
Heiden Serge (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, slh@ens-fcl.fr)
Habert Benoit (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, Francer, habert@limsi.fr)
Fleury Serge (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, fleury@ens-fcl.fr)
Illouz Gabriel (LIMSI, CNRS / Universite Paris Sud, Orsay, France, illouz@limsi.fr)
Lafon Pierre (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, lafon@ens-fcl.fr)
Nioche Julien (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, nioche@ens-fcl.fr)
Prevost Sophie (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, prevost@ens-fcl.fr)

Keywords Corpus Based Linguistics, Evaluation, Multidimensional Statistics, Natural Language Processing, Software Architectur, Tagging, Text Typology

Session Session WO3 - Corpus Categorisation

Abstract The increasing use of methods in natural language processing (NLP) which are based on huge corpora require that the lexical, morpho-syntactic and syntactic homogeneity of texts be mastered. We have developed a methodology and associate tools for text calibration or ''profiling'' within the ELRA benchmark called ''Contribution to the construction of contemporary french corpora'' based on multivariate analysis of linguistic features. We have integrated these tools within a modular architecture based on a generic model allowing us on the one hand flexible annotation of the corpus with the output of NLP and statistical tools and on the other hand retracing the results of these tools through the annotation layers back to the primary textual data. This allows us to justify our interpretations.

Title	TyPTex: Inductive Typological Text Classification by Multivariate Statistical Analysis for NLP Systems Tuning/Evaluation
Authors	Folch Helka (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, folch@ens-fcl.fr) Heiden Serge (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, slh@ens-fcl.fr) Habert Benoit (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, Francer, habert@limsi.fr) Fleury Serge (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, fleury@ens-fcl.fr) Illouz Gabriel (LIMSI, CNRS / Universite Paris Sud, Orsay, France, illouz@limsi.fr) Lafon Pierre (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, lafon@ens-fcl.fr) Nioche Julien (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, nioche@ens-fcl.fr) Prevost Sophie (UMR8503 : Analyses de corpus linguistiques, usages et traitements, CNRS / ENS Fontenay/Saint-Cloud, 92211 Saint-Cloud, France, prevost@ens-fcl.fr)
Keywords	Corpus Based Linguistics, Evaluation, Multidimensional Statistics, Natural Language Processing, Software Architectur, Tagging, Text Typology
Session	Session WO3 - Corpus Categorisation
Abstract	The increasing use of methods in natural language processing (NLP) which are based on huge corpora require that the lexical, morpho-syntactic and syntactic homogeneity of texts be mastered. We have developed a methodology and associate tools for text calibration or ''profiling'' within the ELRA benchmark called ''Contribution to the construction of contemporary french corpora'' based on multivariate analysis of linguistic features. We have integrated these tools within a modular architecture based on a generic model allowing us on the one hand flexible annotation of the corpus with the output of NLP and statistical tools and on the other hand retracing the results of these tools through the annotation layers back to the primary textual data. This allows us to justify our interpretations.