Applied Linguistics Today: Research and Perspectives - Angewandte Linguistik heute: Forschung und Perspektiven
Proceedings from the CALS conference 2011 - Beiträge von der KGAL-Konferenz 2011
Dieser Band enthält 15 Beiträge von 24 Sprachwissenschaftlern aus sieben europäischen Ländern. In den Beiträgen werden die neueren Forschungsergebnisse auf dem Gebiet der Angewandten Linguistik veröffentlicht, in denen es unter anderem um die Themen Fachkommunikation, Fremdsprachenlernen und Terminologiefragen geht.
Daniela Katunar, Krešimir Šojat, Željko Agić, Žarko Stojanović: Visualization of the Croatian WordNet
Original scientific paper Visualization of the Croatian WordNet Daniela Katunar, Krešimir Šojat, Željko Agić, Žarko Stojanović Abstract In this paper we present a visualization tool for the Croatian WordNet. We discuss two main ways of representing the Croatian WordNet – the textual and tree structure view. We point out the advantages and disadvantages of the two views as well as offer a new way of interpreting the visualization representation in terms of radial structures, a third way of representing WordNet. We also discuss the types of relations the radial view incorporates, with special attention paid to polysemy as an underrepresented relation in terms of WordNet visualization. Future work is discussed to include the visualization tool as the main resource in editing and enriching the Croatian WordNet. Key words: WordNet; visualization; semantic networks; polysemy. Introduction The field of information visualization has for some time been concerned with the representation and graphic explorations of linguistic data. As Carpendale and Penn (2009) point out, information visualization offers various advantages for better understanding and analyzing different types of data, as well as improves cognitive processes related to problem solving and understanding of the data itself. Ware (2000) points out the five advantages of information visualization: namely a) comprehension of large quantities of data, b) perception of the data, c) quality control in building various computational resources, d) representation of details within the context, and e) facilitated interpretation of the data. Information visualization is thus extremely useful when dealing with large chunks of data that...
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