CORPORART: um corpus de arte pública para a extração de léxico: representatividade e comparabilidade em corpora de especialidade

This paper introduces the CORPORART, a bilingual corpusof Public Art. CORPORART intends to gather, in a single collection of bilingual data, representative samples of specialized languagein European Portuguese and Italian. The compilationof this corpusis part of anongoingdoctoral project, which aims to integrate specialized lexical units into a pre-existing common language resource, WordNet.PT(Marrafa et al., 2005), in the perspective of contributing to streamline communication between heterogeneous interlocutors (Amaro & Mendes, 2012). Assuming that the structure of the corpusheavily depends on the goals of the investigation, this paper presents the linguistic and extralinguistic parameters adopted for the construction and organization of the corpus,as well as the criteriafortextprocessing. In particular, we will deepenthe notion of representativity and comparability considering the specificityof thiscase study, outliningawork practice proposaloriented to guarantee these two flexible dimensions withinthe specialized languages context.