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Author : Sara Regina Murphey
Publisher : Unknown
Page : 70 pages
File Size : 54,6 Mb
Release : 1970
Category : Programming languages (Electronic computers)
ISBN : UOM:39015017126239
Author : Anonim
Publisher : Unknown
Page : 170 pages
File Size : 51,7 Mb
Release : 1971
Category : Bibliography
ISBN : UOM:39015095134071
Author : Shalom Lappin,Jean-Philippe Bernardy
Publisher : CRC Press
Page : 309 pages
File Size : 42,6 Mb
Release : 2022-12-23
Category : Computers
ISBN : 9781000817874
Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction and information theory, rather than on formal models of grammar induction. This book addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties. It brings together leading researchers from computational linguistics, psychology, behavioral science and mathematical linguistics to consider the significance of non-algebraic methods for the study of natural language. The text represents a wide spectrum of views, from the claim that algebraic systems are largely irrelevant to the contrary position that non-algebraic learning methods are engineering devices for efficiently identifying the patterns that underlying grammars and semantic models generate for natural language input. There are interesting and important perspectives that fall at intermediate points between these opposing approaches, and they may combine elements of both. It will appeal to researchers and advanced students in each of these fields, as well as to anyone who wants to learn more about the relationship between computational models and natural language.
Author : Jan van Bakel
Publisher : Walter de Gruyter GmbH & Co KG
Page : 188 pages
File Size : 44,5 Mb
Release : 2019-10-08
Category : Language Arts & Disciplines
ISBN : 9783110846201
No detailed description available for "Automatic Semantic Interpretation".
Author : Mary Dee Harris
Publisher : Reston
Page : 392 pages
File Size : 46,6 Mb
Release : 1985
Category : Interactive computer systems
ISBN : UCAL:B4981797
Natural language is any language used by human for communication. This book gives readers the information needed to perform rudimentary natural language processing on a computer. The terminology and methodology used by researchers in the field as well as nuts-and-bolts techniques for approaching simple problems. This book emphasized the three primary aspects of information processing--definition of the input and output functions, description and manipulation of the data, and design of the overall software system, including both data and program structure. Designed for computer science students and programmers who are interested in adding natural language interfaces to their software products.
Author : Chris Biemann
Publisher : Springer Science & Business Media
Page : 194 pages
File Size : 52,9 Mb
Release : 2011-12-08
Category : Computers
ISBN : 9783642259234
Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process? After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction. The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.
Author : Roland R. Hausser
Publisher : Springer Science & Business Media
Page : 596 pages
File Size : 41,5 Mb
Release : 2001
Category : Computers
ISBN : 3540424172
The central task of a future-oriented computational linguistics is the development of cognitive machines which humans can freely talk with in their respective natural language. In the long run, this task will ensure the development of a functional theory of language, an objective method of verification, and a wide range of practical applications. Natural communication requires not only verbal processing, but also non-verbal perception and action. Therefore the content of this textbook is organized as a theory of language for the construction of talking robots. The main topic is the mechanism of natural language communication in both the speaker and the hearer. The content is divided into four parts: Theory of Language, Theory of Grammar, Morphology and Syntax, Semantics and Pragmatics. The book contains more than 700 exercises for reviewing key ideas and important problems. In the Second Edition, changes are most noticeable in Chapters 22-24, which have been completely rewritten. They present a declarative outline for programming the semantic and pragmatic interpretation of natural language communication. The presentation is now simpler and more comprehensive. It is defined as a formal fragment and includes a new control structure, an analysis of spatio-temporal infer-encing, and an analysis of internal matching based on the notion of a task analysis. Examples and explanations which were contained in the old versions of Chapters 22-24 have been moved to the new Appendix. A schematic summary and a conclusion have been added as well.
Author : T. W. Simon,R. J. Scholes
Publisher : Psychology Press
Page : 288 pages
File Size : 42,5 Mb
Release : 2019-01-22
Category : Language Arts & Disciplines
ISBN : 9781317738053
The chapters in this volume are extended versions of material first presented at the National Interdisciplinary Symposium on Language, Mind, and Brain held April 6-9, 1978, in Gainesville, Florida. Importantly for interdisciplinary goals, the papers contained in this volume are quite “ available” ; that is, papers by philosophers can easily be read and understood by linguists and psychologists; the ideas of the linguists are readily comprehensible to any educated reader; the psychologists and neurologically oriented writers are clear and nderstandable. It is, then, a volume that cuts, not so much across disciplines, but through them. First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.
Author : Allen Kent,James G. Williams
Publisher : CRC Press
Page : 422 pages
File Size : 43,9 Mb
Release : 1993-05-28
Category : Computers
ISBN : 082472710X
"The Encyclopedia of Microcomputers serves as the ideal companion reference to the popular Encyclopedia of Computer Science and Technology. Now in its 10th year of publication, this timely reference work details the broad spectrum of microcomputer technology, including microcomputer history; explains and illustrates the use of microcomputers throughout academe, business, government, and society in general; and assesses the future impact of this rapidly changing technology."
Author : David L. Waltz
Publisher : Routledge
Page : 245 pages
File Size : 46,5 Mb
Release : 2014-02-03
Category : Language Arts & Disciplines
ISBN : 9781317933502
Natural language understanding is central to the goals of artificial intelligence. Any truly intelligent machine must be capable of carrying on a conversation: dialogue, particularly clarification dialogue, is essential if we are to avoid disasters caused by the misunderstanding of the intelligent interactive systems of the future. This book is an interim report on the grand enterprise of devising a machine that can use natural language as fluently as a human. What has really been achieved since this goal was first formulated in Turing’s famous test? What obstacles still need to be overcome?
Author : Anonim
Publisher : Unknown
Page : 332 pages
File Size : 50,8 Mb
Release : 1970
Category : Linguistics
ISBN : UOM:39015079868967
Author : Eugene Charniak,Yorick Wilks
Publisher : Unknown
Page : 312 pages
File Size : 45,8 Mb
Release : 1976
Category : Artificial intelligence
ISBN : UOM:39015009842504
Linguistics. Artificial intelligence. Related fields. Computation.
Author : Li Deng,Yang Liu
Publisher : Springer
Page : 329 pages
File Size : 49,6 Mb
Release : 2018-05-23
Category : Computers
ISBN : 9789811052095
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
Author : Anonim
Publisher : Unknown
Page : 784 pages
File Size : 52,5 Mb
Release : 1969-10
Category : Science
ISBN : NYPL:33433066455688
Author : Walter A. Sedelow,Sally Yeates Sedelow
Publisher : Walter de Gruyter GmbH & Co KG
Page : 234 pages
File Size : 41,9 Mb
Release : 2021-03-22
Category : Language Arts & Disciplines
ISBN : 9783112419588
TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks, as well as studies that provide new insights by approaching language from an interdisciplinary perspective. TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language. TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing. To discuss your book idea or submit a proposal, please contact Birgit Sievert.
