What is Cognitive Science
A pragmatic solution to the polysemy paradox
Ingrid Lossius Falkum
Thursday, October 01, 2009, 12:00pm - 07:00pm
University College London
Natural languages exhibit polysemy. Polysemy is seen as the case where what we perceive to be a single word has two or multiple related senses. When we use the word run for instance, it takes on different meanings depending on whether we're talking about running a half marathon, running some water, running on gasoline, running on empty, running a shop, running away from responsibilities, and so on. While it is largely unproblematic from the point of view of communication, polysemy poses a range of theoretical and descriptive problems. This has been described as the polysemy paradox (Ravin & Leacock 2000). In this talk, I claim that the source of the paradox can be found in the traditional assumption about polysemy as a fact about language, i.e. as a phenomenon requiring a lexical semantic analysis. Against this lexical semantic view, I argue that polysemy should be seen as a natural consequence of how communication works; it results from our capacity to infer the meanings/thoughts that speakers intend to communicate to us taking the linguistic expression employed as crucial but not fully determining evidence. In this way, polysemy is rooted in the more general phenomenon of underdetermination of a speaker's meaning by the language, and its study belongs to the realm of pragmatics. This pragmatic approach, I argue, provides a more promising way of tackling the theoretical challenges associated with polysemy; one that will contribute to resolving the paradox.
"What is Cognitive Science?"
This lunchtime talks series is designed to introduce the University community to issues in Cognitive Science. Cognitive Science is one the the few fields where modern developments in computer science and artificial intelligence promise to shed light on classical problems in psychology and the philosophy of the mind. Ancient questions of how we see the world, understand language, and reason, and questions such as 'how a material system can know about the outside world', are being explored with the powerful new conceptual prosthetics of computer modeling.
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