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This volume offers novel views on the precise relation between reference to an object by means of a linguistic expression and our mental representation of that object, long a source of debate in the philosophy of language, linguistics, and cognitive science. Chapters in this volume deal with our devices for singular reference and singular representation, with most focusing on linguistic expressions that are used to refer to particular objects, persons, or places. These expressions include proper names such as Mary and John; indexicals such as I and tomorrow; demonstrative pronouns such as this and that; and some definite and indefinite descriptions such as The Queen of England or a medical doctor. Other chapters examine the ways we represent objects in thought, particularly the first-person perspective and the self, and one explores a notion common to reference and representation: salience. The volume includes the latest views on these complex topics from some of the most prominent authors in the field and will be of interest to anyone working on issues of reference and representation in thought and language.
This book is a defense of a Chomskyan conception of language against philosophical objectionsthat have been raised against it. It also provides, however, a critical examination of some of the glosses on the theory: the assimilation of it to traditional Rationalism; a supposed conflict between being innate and learned; an unclear ontology and the need of a "representational pretense" with regard to it; and, most crucially, a rejection of Chomsky's eliminativism about the role of intentionality not only in his own theories, but in any serious science at all. This last is a fundamentally important issue for linguistics, psychology, and philosophy that an examination of a theory as rich and promising as a Chomskyan linguistics should help illuminate. The book ends with a discussion of some further issues that Chomsky misleadingly associates with his theory: an anti-realism about ordinary thought and talk, and a dismissal of the mind/body problem(s), towards the solution of some of which his theory in fact makes an important contribution.
Rather than simply a record of proceedings (3rd International Conference on Functional Grammar, Amsterdam, June 1988), this volume contains revised and expanded papers from the conference and other papers inspired by the lively discussion there. The volume focuses on the nature of the structures assumed to underlie utterances in natural languages, in two respects. One area is the question of whether to expand the representations accepted in Functional Grammar (FG) in order to capture interpersonal functions, i.e., communication between speaker and hearer in a particular situation and context, to include, for example, aspect, tense, modality and illocutionary force. The second area concerns whether current underlying representation in FG is sufficiently abstract to be the format for the deepest level of human conceptual knowledge storage, as discussed by Simon Dik in a number of recent articles.
Every two years since 1989, an international colloquium on cognitive science is held in Donostia - San Sebastian, attracting the most important researchers in that field. This volume is a collection of the invited papers to the Sixth International Colloquium on Cognitive Science (ICCS-99), written from a multidisciplinary, cognitive perspective, and addressing various essential topics such as self-knowledge, intention, consciousness, language use, learning and discourse. This collection reflects not only the various interdisciplinary origins and standpoints of the participating researchers, but also the richness, fruitfulness, and exciting state of research in the field of cognitive science today. A must-read for anyone interested in philosophy, linguistics, psychology, and computer science, and in the perception of these topics from the perspective of cognitive science.
An examination of the ways human movement can be represented as a formal language and how this language can be mediated technologically. In Motion and Representation, Nicolás Salazar Sutil considers the representation of human motion through languages of movement and technological mediation. He argues that technology transforms the representation of movement and that representation in turn transforms the way we move and what we understand to be movement. Humans communicate through movement, physically and mentally. To record and capture integrated movement (both bodily and mental), by means of formal language and technological media, produces a material record and cultural expression of our evolving kinetic minds and identities. Salazar Sutil considers three forms of movement inscription: a written record (notation), a visual record (animation), and a computational record (motion capture). He focuses on what he calls kinetic formalism—formalized movement in such pursuits as dance, sports, live animation, and kinetic art, as well as abstract definitions of movement in mathematics and computer science. He explores the representation of kinetic space and spatiotemporality; the representation of mental plans of movement; movement notation, including stave notation (Labanotation) and such contemporary forms of notation as Choreographic Language Agent; and the impact of digital technology on contemporary representations of movement—in particular motion capture technology and Internet transfer protocols. Motion and Representation offers a unique cultural theory of movement and of the ever-changing ways of representing movement.
This book brings together linguistics and psycholinguistics. Text representation is considered a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding. The focus is on referential and relational coherence and the role of linguistic characteristics as processing instructions from a text linguistic and discourse psychology point of view. Consequently, this book presents various research methodologies: linguistic analysis, text analysis, corpus linguistics, computational linguistics, argumentation analysis, and the experimental psycholinguistic study of text processing. The authors compare, test, and evaluate linguistic and processing theories of text representation. A state of the art volume in an emerging field of interest, located at the very heart of our communicative behavior: the study of text and text representation.
This book is nominally about linguistic representation. But, since it is we who do the representing, it is also about us. And, since it is the universe which we represent, it is also about the universe. In the end, then, this book is about everything, which, since it is a philosophy book, is as it should be. I recognize that it is nowadays unfashionable to write books about every thing. Philosophers of language, it will be said, ought to stick to writing about language; philosophers of science, to writing about science; epis temologists, to writing about knowing; and so on. The real world, however, perversely refuses to carve itself up so neatly, and, although I recognize that the real w,orld is nowadays also unfashionable, in the end I judged that one might get closer to the truth of various matters by going along with it. So I have done so. lt was Wilfrid Sellars who initially convinced me of the virtues of this way of proceeding. At this point one normally says something like "The debt that this book owes him is immense". I would say it too, were it not to understate the case, From Wilfrid, I learned to think about things. If the upshot of my thinking tends, as it obviously does, to show a general con silience with the upshot of his, it is primarily because he is so very good at it - and he had a head start.
The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge. Key Features: combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks.
Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.