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Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/1286
Title: Mètodes empírics en lingüística cognitiva
Autor: Coll-Florit, Marta
Otros: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Language Processing Group. LPG
Issue Date: Jul-2007
Editorial: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Type: Trabajo de investigación
Series/Report no.: Working paper series
WP07-004
Abstract: One of the fundamental consequences of the boom in linguistic technologies is that they have revealed the complexity of the linguistic phenomenon and the need to develop thorough and interdisciplinary knowledge regarding all aspects of language. To move forward, empirical and joint work by linguists, psychologists, neurologists and IT specialists is needed. In particular, one of the main problems that language technologies come across is that they have to settle the intrinsic ambiguity in languages, as is the case of the ambiguity with polysemic verbs. Therefore, we need to have a set of formal criteria to identify and discern verbal meanings. In this article, we will be presenting the lexical aspect or Aktionsart as one of the key criteria for establishing verbal meanings. With the final aim of proposing a formal model of representation of the aspectual categories that can be implemented computationally and which, at the same time, is cognitively motivated, a psycholinguistic experiment has been conducted to evaluate empirically the cognitive status of the aspectual macrodistinction between states and events and, in a related way, to validate the relationship between aspect and verbal polysemy. In this article, we will offer an in-depth presentation of the methodology used to create the experiment sample, design and application of the experiment conducted, and also an advance look at the initial results that point to the verification of the initial hypothesis.
Description: Peer-reviewed
Language: Catalán
URI: http://hdl.handle.net/10609/1286
Appears in Collections:Research papers


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