AICogSem 2013 - Special Track on AI, Cognitive Semantics , Computational Linguistics and Logics (AICogSem)
Date2013-05-22 - 2013-05-24
Deadline2012-11-19
VenuePete Beach, USA - United States
Keywords
Websitehttps://www.flairs-26.info/
Topics/Call fo Papers
What is “AI, COGNITIVE SEMANTICS , COMPUTATIONAL LINGUISTICS AND LOGICS” ?
Traditionally, the study of computational linguistics has been performed by computer scientists, specializing in the application of computers to the processing of a natural language.
Today, computational linguists often work as members of interdisciplinary teams, including linguists (specifically trained in linguistics), language experts (persons with some level of ability in the languages relevant to a given project), and computer scientists. In general, computational linguistics draws upon the involvement of linguists, computer scientists, experts in artificial intelligence, mathematicians, logicians, cognitive scientists, cognitive psychologists, psycholinguists, anthropologists and neuroscientists, among others.
Computational linguistics must become more connected to the cognitive sciences through the development of cognitive semantic theories. Computational linguistics is connected to artificial intelligence through the development of methods and algorithms for all aspects of language analysis and their computer implementation. We can see language analysis divided into two parts: theoretical analysis and application. The theoretical aspect includes standard areas studied in linguistics: semantics, syntax, and morphology. Semantic theories guide the development of syntactic theories and morphology. Semantic theories can be based on some specific features of computation, but at the present stage of research, there is a gap between linguistic analysis and computer applications in two senses: there are many computer applications without linguistic theoretical support and, conversely, there are a number of theoretical methods with no computer implementation. Another epistemological feature of the present stage of research is that most computational linguistic methods are focused on statistical approaches. The advantage of these methods is that they are easy to apply but the drawback is that they distort the qualitative and genuine cognitive features of language.
Traditionally, the study of computational linguistics has been performed by computer scientists, specializing in the application of computers to the processing of a natural language.
Today, computational linguists often work as members of interdisciplinary teams, including linguists (specifically trained in linguistics), language experts (persons with some level of ability in the languages relevant to a given project), and computer scientists. In general, computational linguistics draws upon the involvement of linguists, computer scientists, experts in artificial intelligence, mathematicians, logicians, cognitive scientists, cognitive psychologists, psycholinguists, anthropologists and neuroscientists, among others.
Computational linguistics must become more connected to the cognitive sciences through the development of cognitive semantic theories. Computational linguistics is connected to artificial intelligence through the development of methods and algorithms for all aspects of language analysis and their computer implementation. We can see language analysis divided into two parts: theoretical analysis and application. The theoretical aspect includes standard areas studied in linguistics: semantics, syntax, and morphology. Semantic theories guide the development of syntactic theories and morphology. Semantic theories can be based on some specific features of computation, but at the present stage of research, there is a gap between linguistic analysis and computer applications in two senses: there are many computer applications without linguistic theoretical support and, conversely, there are a number of theoretical methods with no computer implementation. Another epistemological feature of the present stage of research is that most computational linguistic methods are focused on statistical approaches. The advantage of these methods is that they are easy to apply but the drawback is that they distort the qualitative and genuine cognitive features of language.
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Last modified: 2012-08-13 11:37:26