Representation Of Language

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.

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.

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.

How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing subdiscipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics.

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.

This volume contains a detailed, precise and clear semantic formalism designed to allow non-programmers such as linguists and literary specialists to represent elements of meaning which they must deal with in their research and teaching. At the same time, by its basis in a functional programming paradigm, it retains sufficient formal precision to support computational implementation. The formalism is designed to represent meaning as found at a variety of levels, including basic semantic units and relations, word meaning, sentence-level phenomena, and text-level meaning. By drawing on fundamental principles of program design, the proposed formalism is both easy to read and modify yet sufficiently powerful to allow for the representation of complex semantic phenomena. In this monograph, the authors introduce the formalism and show its basic structure, apply it to the analysis of the semantics of a variety of linguistic phenomena in both English and French, and use it to represent the semantics of a variety of texts ranging from single sentences, to textual excepts, to a full story.

The 18 contributions in Lexical Representation and Process provide a coherent and well-documented frame of reference for a field of study that is becoming central to both linguistics and psycholinguistics.

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.