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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/32343

Title: Definition Patterns for Predicative Terms in Specialized Lexical Resources
Authors: San Martín, Antonio
L'Homme, Marie-Claude
Issue Date: 2014
Abstract: The research presented in this paper is part of a larger project on the semi-automatic generation of definitions of semantically-related terms in specialized resources. The work reported here involves the formulation of instructions to generate the definitions of sets of morphologically-related predicative terms, based on the definition of one of the members of the set. In many cases, it is assumed that the definition of a predicative term can be inferred by combining the definition of a related lexical unit with the information provided by the semantic relation (i.e. lexical function) that links them. In other words, terminographers only need to know the definition of pollute and the semantic relation that links it to other morphologically-related terms (polluter, polluting, pollutant, etc.) in order to create the definitions of the set. The results show that rules can be used to generate a preliminary set of definitions (based on specific lexical functions). They also show that more complex rules would need to be devised for other morphological pairs.
Sponsorship: Spanish Ministry of Economy and Competitiveness (FFI 2011-22397)
Spanish Ministry of Education, Culture, and Sports (FPU AP2009-4519)
Quebec funding agency "Fonds de recherche sur la société et la culture"
Publisher: European Language Resources Association (ELRA)
Keywords: Terminological definition
Predicative term
Lexical function
URI: http://hdl.handle.net/10481/32343
Citation: San Martín, Antonio, and L'Homme, Marie-Claude. Definition Patterns for Predicative Terms in Specialized Lexical Resources. In: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asunción Moreno, Jan Odijk, and Stelios Piperidis (eds.). Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). Reykjavik: European Language Resources Association (ELRA), 2014. pp. 3748–3755. [http://hdl.handle.net/10481/32343]
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