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The Handbook of Discourse Analysis makes significant contributions to current research and serves as a comprehensive and authoritative guide to the central issues in contemporary discourse analysis. Features comprehensive coverage of contemporary discourse analysis. Offers an overview of how different disciplines approach the analysis of discourse. Provides analysis of a wide range of data, including political speeches, everyday conversation, and literary texts. Includes a varied range of theoretical models, such as relevance theory and systemic-functional linguistics; and methodology, including interpretive, statistical, and formal methodsFeatures comprehensive coverage of contemporary discourse analysis.
Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks. We first explore some ways of assigning structure on the document level: the logical document structure as determined by the layout of the text, its genre-specific content structure, and its breakdown into topical segments. Then the focus moves to phenomena of local coherence. We introduce the problem of coreference and look at methods for building chains of coreferring entities in the text. Next, the notion of coherence relation is introduced as the second important factor of local coherence. We study the role of c...
Given that context-free grammars (CFG) cannot adequately describe natural languages, grammar formalisms beyond CFG that are still computationally tractable are of central interest for computational linguists. This book provides an extensive overview of the formal language landscape between CFG and PTIME, moving from Tree Adjoining Grammars to Multiple Context-Free Grammars and then to Range Concatenation Grammars while explaining available parsing techniques for these formalisms. Although familiarity with the basic notions of parsing and formal languages is helpful when reading this book, it is not a strict requirement. The presentation is supported with many illustrations and examples relating to the different formalisms and algorithms, and chapter summaries, problems and solutions. The book will be useful for students and researchers in computational linguistics and in formal language theory.
This user-friendly student guide is the essential resource for all those engaged in studying systemic functional linguistics (SFL). Assuming no prior knowledge, this guide is divided into nine chapters which can be read independently of one another and used for purposes of reference. The reading section maps out and mediates the key SFL literature. The application guides show how SFL has been and can be applied to various domains, from translation to healthcare communication. The term guides demystify the core terminology and the vocabulary guides aid readers in dealing with the most commonly used terms in text analysis. Systemic Functional Linguistics is an invaluable guidebook for all those studying functional grammar and SFL within linguistics, applied linguistics and related courses.
Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.
A Computer Science Reader covers the entire field of computing, from its technological status through its social, economic and political significance. The book's clearly written selections represent the best of what has been published in the first three-and-a-half years of ABACUS, Springer-Verlag's internatioanl quarterly journal for computing professionals. Among the articles included are: - U.S. versus IBM: An Exercise in Futility? by Robert P. Bigelow - Programmers: The Amateur vs. the Professional by Henry Ledgard - The Composer and the Computer by Lejaren Hiller - SDI: A Violation of Professional Responsibility by David L. Parnas - Who Invented the First Electronic Digital Computer? by ...
Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently. After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve.
Despite the volume of research carried out into the design of database systems and the design of user interfaces, there is little cross-fertilization between the two areas. The control of user interfaces to database systems is, therefore, significantly less advanced than other aspects of DBMS design. As database functionality is used in a wider range of areas, such as design applications, the suitability of the user interface is becoming increasingly important. It is, therefore, necessary to begin applying the knowledge developed by HCI researchers to the specialised domain of database systems. This volume contains revised papers from the International Workshop on Interfaces to Database Syst...
Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game pla...
This book collects Peter Culicover's key observations on the nature of syntax and its place within the architecture of language. Over four decades his pioneering examinations of expression and interpretation have led him to rebalance the elements of grammar and to reformulate linguistic theory. The book will appeal to all theoretical linguists.