The LIMA multilingual analyzer made free: FLOSS resources adaptation and correction

• Main Author: De Chalendar, G.
• Other Authors: Département Intelligence Ambiante et Systèmes Interactifs (DIASI), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Calzolari N., Choukri K., Goggi S., Declerck T., Mariani J., Maegaard B., Moreno A., Odijk J., Mazo H., Piperidis S., Loftsson H.
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2014
• Subjects: Open source software; Resources adaptation; Part of speech tagging; Language resources; Free software; FLOSS; Computational linguistics; [INFO]Computer Science [cs]; Iceland
• Online Access: https://hal-cea.archives-ouvertes.fr/cea-01844458

Conference of 9th International Conference on Language Resources and Evaluation, LREC 2014 Conference Date: 26 May 2014 Through 31 May 2014; Conference Code:131726 International audience At CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select and adapt free ones in order to attain results good enough and equivalent to those obtained with our previous ones. For English and French, we found and adapted a full-form dictionary and an annotated corpus for learning part-of-speech tagging models.