LexTec — a rich language resource for technical domains in Portuguese

Palmira Marrafa, Raquel Amaro, Sara Mendes


Abstract
The growing amount of available information and the importance given to the access to technical information enhance the potential role of NLP applications in enabling users to deal with information for a variety of knowledge domains. In this process, language resources are crucial. This paper presents Lextec, a rich computational language resource for technical vocabulary in Portuguese. Encoding a representative set of terms for ten different technical domains, this concept-based relational language resource combines a wide range of linguistic information by integrating each entry in a domain-specific wordnet and associating it with a precise definition for each lexicalization in the technical domain at stake, illustrative texts and information for translation into English.
Anthology ID:
L14-1217
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1044–1050
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/222_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Palmira Marrafa, Raquel Amaro, and Sara Mendes. 2014. LexTec — a rich language resource for technical domains in Portuguese. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1044–1050, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
LexTec — a rich language resource for technical domains in Portuguese (Marrafa et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/222_Paper.pdf