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Autre Publication Scientifique Année : 2007

Final report on NLP analysis and normalization

Adeline Nazarenko
  • Fonction : Auteur
  • PersonId : 830553
Sophie Aubin
Robert Bossy
Tomaz Erjavec
  • Fonction : Auteur
Thierry Hamon
Dunja Mladevic
  • Fonction : Auteur
Davy Weissenbacher
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Qiang Zhou
  • Fonction : Auteur

Résumé

This document describes the ALVIS NLP line that has been developed. In ALVIS, it is used to analyze the crawled documents that are then indexed on semantic and domain-specific grounds. It is also to process training corpora in order to acquire the specialized linguistic and domain resources (in WP6) that are then exploited for the semantic analysis of larger document collections. Four languages are addressed in ALVIS: English, French, Slovene and Chinese. Some specific NLP modules have been developed and integrated for each language. The resulting NLP lines have been tested trough several experiments on different domains, on document collections of various size and with various degrees of NLP analysis.
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Dates et versions

hal-00711871 , version 1 (26-06-2012)

Identifiants

  • HAL Id : hal-00711871 , version 1

Citer

Adeline Nazarenko, Sophie Aubin, Robert Bossy, Tomaz Erjavec, Thierry Hamon, et al.. Final report on NLP analysis and normalization. 2007, pp.118. ⟨hal-00711871⟩
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