FROM ONTOLOGICAL ATTRIBUTES TO SEMANTIC FEATURE STRUCTURES - EXPERIMENTAL RESEARCH ON ASPECT IN POLISH
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The authoress' aim is the formalisation of semantic concepts using experimental Computer-aided Acquisition of Semantic Knowledge (CASK) method. This method is being used at CELTA with the SEMANA (SEMantic ANAlyser) software which was especially designed for this purpose. The case study she proposes is the experimental research on Aspect in Polish: she shows how although rich nevertheless intuitive notions resulting from years of traditional research can be formalised with computational methods of data analysis. She uses the notation close to that of Semantic Feature Structures as a representation language for describing the category of aspect in Polish taking into account not only the grammatical core of this category but also the whole semantic field (called 'aspectuality' by A.V. Bondarko) regardless of its pertaining to various levels of expression (morphological, syntactical or lexical). To model the Category of Aspect the authoress treats ontological types of situations as conditions for two relevant aspect parameters she calls Analysis of the situation (or Internal Aspect) and Control of the situation (or External Aspect). In order to cope both with the lexical diversity of aspectual morphemes (prefixes) and the grammatical (dichotomous and obligatory) character of aspect in Slavic languages, she has proposed to define the perfective aspect as a hypercategory. The database of Polish Aspect was analysed using KDD statistical tools (Sauvet (2008)): thus, she obtained the first preliminary experience-based semantic definitions of the perfective and imperfective values of the category of aspect in a Slavic language.
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