Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic approaches. Although there are many NLP applications which can work without taking into account any linguistic theory, this type of system can only be described as “deceptively intelligent”. On the other hand, however, those computer programs requiring some language comprehension capability should be grounded in a robust linguistic model if they are to display the expected behaviour. The purpose of this book is to examine and discuss recent work in meaning and knowledge representation within theoretical linguistics and cognitive linguistics, particularly research which can be reused to model NLP applications.

� propos de l?auteur

Carlos Peri��n-Pascual received his PhD degree in English Philology at Universidad Nacional de Educaci�n a Distancia (UNED), Spain, in 1999. Since his doctoral dissertation on the resolution of word sense disambiguation in machine translation, his main research interests have included knowledge engineering, natural language understanding and computational linguistics. More particularly, his research has been focused on the cognitive and computational treatment of lexical information, constructional meaning, conceptual representation, and reasoning, among many other tasks. Since 2004, he has been the Director of FunGramKB, a lexico-conceptual knowledge base for the automatic processing of language. He has more than 40 publications to his credit, including journal articles, book chapters and conference papers. Most of his 20 journal articles are indexed in prestigious international catalogues. He has been invited not only to deliver lectures on natural language processing at several universities, but has also taken part in international conferences as a plenary speaker. Dr Peri��n-Pascual has also been the principal investigator in four funded research projects, as well as the chair of the organizing committee of many scientific events, including international workshops and conferences. He is currently an Associate Professor at Universitat Polit�cnica de Val�ncia, Spain. Eva M. Mestre-Mestre is an Associate Professor at Universidad Polit�cnica de Val�ncia, Spain. Since her PhD thesis on the pragmatic implications of errors in English as a second language, her research has focused around three main axes: error analysis, English learning in higher education, and corpus management, resulting in publications indexed in nationally and internationally prestigious catalogues. In addition to several book chapters, she is also the author of a monograph about teaching English as a second language for Higher Education in the Common European Framework of Reference for Languages. Previously a Visitor Researcher in Aston University, UK, Universit� d’Angers, France, and College of William and Mary, USA, she is currently the manager of the panel on pragmatics in the Spanish Society for Applied Linguistics Conference.

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