[PDF] Semantic Interpretation Of Deep Structure For Natural Language Computer Input eBook

Author : Sara Regina Murphy
Publisher :
Page : 62 pages
File Size : 50,33 MB
Release : 1960
Category :
ISBN :

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The theory of transformational grammars represents the linguists' most elaborate attempt to date to formalize the syntactic structure of English. The result of analyzing a sentence according to a transformational grammar is a so-called 'deep structure, ' which expresses various information about the constituent portions of the sentence in a treelike form. In view of the relatively high state of development of the transformational theory, it is natural to use it as the basis for the 'front end' of an English-understanding program. The system discussed in the report provides a general method of interpretation of transformationally parsed sentences for use in question-answering. It is based on a general scheme for using the information contained in the deep structures to interrogate a data base. The primary effort is aimed at handling a wide variety of complex syntactic structures, with particular concern for the problem of embedded structures. The system provides a general facility for handling syntactic sturctures, to which a user can add routines corresponding to the specific nouns, verbs, and adjectives he wants to use. The present implementation includes a vocabulary suitable for dealing with sets; the noun, verb, and adjective routines for this area of discourse constitute about 10% of the entire program. (Author).

Author : Jan van Bakel
Publisher : Walter de Gruyter GmbH & Co KG
Page : 188 pages
File Size : 31,41 MB
Release : 2019-10-08
Category : Language Arts & Disciplines
ISBN : 3110846209

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No detailed description available for "Automatic Semantic Interpretation".

Author : Shalom Lappin
Publisher : CRC Press
Page : 309 pages
File Size : 16,43 MB
Release : 2022-12-23
Category : Computers
ISBN : 1000817873

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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 : T. W. Simon
Publisher : Psychology Press
Page : 282 pages
File Size : 32,46 MB
Release : 2019-01-22
Category : Language Arts & Disciplines
ISBN : 1317738055

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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. First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.

Author : Allen Kent
Publisher : CRC Press
Page : 422 pages
File Size : 29,61 MB
Release : 1993-05-28
Category : Computers
ISBN : 9780824727109

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"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 : Mary Dee Harris
Publisher : Reston
Page : 390 pages
File Size : 36,40 MB
Release : 1985
Category : Computers
ISBN :

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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.