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Author: Dan Jurafsky
Publisher: Pearson Education India
Published: 2000-09
Total Pages: 912
ISBN-13: 9788131716724
DOWNLOAD EBOOKDownload or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Alexander Haselow
Publisher: John Benjamins Publishing Company
Published: 2020-11-15
Total Pages: 368
ISBN-13: 9027260605
DOWNLOAD EBOOKThis volume brings together linguistic, psychological and neurological research in a discussion of the Cognitive Dualism Hypothesis, whose central idea is that human cognitive activity in general and linguistic cognition in particular cannot reasonably be reduced to a single, monolithic system of mental processing, but that they have a dualistic organization. Drawing on a wide range of methodological approaches and theoretical frameworks that account for how language users mentally represent, process and produce linguistic discourse, the studies in this volume provide a critical examination of dualistic approaches to language and cognition and their impact on a number of fields. The topics range from formulaic language, the study of reasoning and linguistic discourse, and the lexicon–grammar distinction to studies of specific linguistic expressions and structures such as pragmatic markers and particles, comment adverbs, extra-clausal elements in spoken discourse and the processing of syntactic groups.
Download or read book Grammar and Cognition written by Alexander Haselow and published by John Benjamins Publishing Company. This book was released on 2020-11-15 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together linguistic, psychological and neurological research in a discussion of the Cognitive Dualism Hypothesis, whose central idea is that human cognitive activity in general and linguistic cognition in particular cannot reasonably be reduced to a single, monolithic system of mental processing, but that they have a dualistic organization. Drawing on a wide range of methodological approaches and theoretical frameworks that account for how language users mentally represent, process and produce linguistic discourse, the studies in this volume provide a critical examination of dualistic approaches to language and cognition and their impact on a number of fields. The topics range from formulaic language, the study of reasoning and linguistic discourse, and the lexicon–grammar distinction to studies of specific linguistic expressions and structures such as pragmatic markers and particles, comment adverbs, extra-clausal elements in spoken discourse and the processing of syntactic groups.
Author: John S. Coleman
Publisher: Cambridge University Press
Published: 2005-03-03
Total Pages: 324
ISBN-13: 9780521530699
DOWNLOAD EBOOKThis major new textbook provides a clearly-written, concise and accessible introduction to speech and language processing. Assuming knowledge of only the very basics of linguistics and written specifically for students with no technical background, it is the perfect starting point for anyone beginning to study the discipline. Student s are shown from an elementary level how to use two programming languages, C and Prolog, and the accompanying CD-ROM contains all the software needed. Setting an invaluable foundation for further study, this is set to become the leading introduction to the field.
Download or read book Introducing Speech and Language Processing written by John S. Coleman and published by Cambridge University Press. This book was released on 2005-03-03 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major new textbook provides a clearly-written, concise and accessible introduction to speech and language processing. Assuming knowledge of only the very basics of linguistics and written specifically for students with no technical background, it is the perfect starting point for anyone beginning to study the discipline. Student s are shown from an elementary level how to use two programming languages, C and Prolog, and the accompanying CD-ROM contains all the software needed. Setting an invaluable foundation for further study, this is set to become the leading introduction to the field.
Author: Emmanuel Roche
Publisher: MIT Press
Published: 1997
Total Pages: 494
ISBN-13: 9780262181822
DOWNLOAD EBOOKFinite-state devices, such as finite-state automata, graphs, and finite-state transducers, have been present since the emergence of computer science and are extensively used in areas as various as program compilation, hardware modeling, and database management. Although finite-state devices have been known for some time in computational linguistics, more powerful formalisms such as context-free grammars or unification grammars have typically been preferred. Recent mathematical and algorithmic results in the field of finite-state technology have had a great impact on the representation of electronic dictionaries and on natural language processing, resulting in a new technology for language emerging out of both industrial and academic research. This book presents a discussion of fundamental finite-state algorithms, and constitutes an approach from the perspective of natural language processing.
Download or read book Finite-state Language Processing written by Emmanuel Roche and published by MIT Press. This book was released on 1997 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finite-state devices, such as finite-state automata, graphs, and finite-state transducers, have been present since the emergence of computer science and are extensively used in areas as various as program compilation, hardware modeling, and database management. Although finite-state devices have been known for some time in computational linguistics, more powerful formalisms such as context-free grammars or unification grammars have typically been preferred. Recent mathematical and algorithmic results in the field of finite-state technology have had a great impact on the representation of electronic dictionaries and on natural language processing, resulting in a new technology for language emerging out of both industrial and academic research. This book presents a discussion of fundamental finite-state algorithms, and constitutes an approach from the perspective of natural language processing.
Author: Brian Nolan
Publisher: John Benjamins Publishing Company
Published: 2014-04-15
Total Pages: 404
ISBN-13: 9027270643
DOWNLOAD EBOOKThere is a growing awareness of the significance and value that modelling using information technology can bring to the functionally oriented linguistic enterprise. This encompasses a spectrum of areas as diverse as concept modelling, language processing and grammar modelling, conversational agents, and the visualisation of complex linguistic information in a functional linguistic perspective. This edited volume offers a collection of papers dealing with different aspects of computational modelling of language and grammars, within a functional perspective at both the theoretical and application levels. As a result, this volume represents the first instance of contemporary functionally oriented computational treatments of a variety of important language and linguistic issues. This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda.
Download or read book Language Processing and Grammars written by Brian Nolan and published by John Benjamins Publishing Company. This book was released on 2014-04-15 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a growing awareness of the significance and value that modelling using information technology can bring to the functionally oriented linguistic enterprise. This encompasses a spectrum of areas as diverse as concept modelling, language processing and grammar modelling, conversational agents, and the visualisation of complex linguistic information in a functional linguistic perspective. This edited volume offers a collection of papers dealing with different aspects of computational modelling of language and grammars, within a functional perspective at both the theoretical and application levels. As a result, this volume represents the first instance of contemporary functionally oriented computational treatments of a variety of important language and linguistic issues. This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda.
Author: Geert Adriaens
Publisher: Intellect Books
Published: 1994
Total Pages: 490
ISBN-13:
DOWNLOAD EBOOKParallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it is gaining more and more attention in the community of scientists studying natural language and its processing (computational linguists, AI researchers, psychologists). The growing need to integrate large divergent bodies of knowledge in natural language processing applications, or the belief that massively parallel systems are the only ones capable of handling the complexities and subtleties of natural language, are just two examples of the reasons for this increasing interest.
Download or read book Parallel Natural Language Processing written by Geert Adriaens and published by Intellect Books. This book was released on 1994 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it is gaining more and more attention in the community of scientists studying natural language and its processing (computational linguists, AI researchers, psychologists). The growing need to integrate large divergent bodies of knowledge in natural language processing applications, or the belief that massively parallel systems are the only ones capable of handling the complexities and subtleties of natural language, are just two examples of the reasons for this increasing interest.
Author: Naomi Sager
Publisher: Addison Wesley Publishing Company
Published: 1981
Total Pages: 428
ISBN-13:
DOWNLOAD EBOOKGoals and tools. Computer representation of linguistic data. The restriction language. The BNF component of the grammar. The restriction component of the grammar. The treatment of conjunctions. The transformational component of the grammar. Information formatting. Applications of medical information formatting. Applications in teaching. References/ Appendices. Introduction to appendix I. Index to symbols of the computer grammar in part 2. Index.
Download or read book Natural Language Information Processing written by Naomi Sager and published by Addison Wesley Publishing Company. This book was released on 1981 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goals and tools. Computer representation of linguistic data. The restriction language. The BNF component of the grammar. The restriction component of the grammar. The treatment of conjunctions. The transformational component of the grammar. Information formatting. Applications of medical information formatting. Applications in teaching. References/ Appendices. Introduction to appendix I. Index to symbols of the computer grammar in part 2. Index.
Author: David R. Dowty
Publisher: Cambridge University Press
Published: 1985-05-31
Total Pages: 431
ISBN-13: 0521262038
DOWNLOAD EBOOKThis collection of new papers by leading researchers on natural language parsing brings together different fields of research, each making significant contributions to the others. The volume includes papers applying the results of experimental psychological studies of parsing to linguistic theory. Others which present computational models of parsing and a mathematical linguistics paper on tree-adjoining grammars and parsing.
Download or read book Natural Language Parsing written by David R. Dowty and published by Cambridge University Press. This book was released on 1985-05-31 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of new papers by leading researchers on natural language parsing brings together different fields of research, each making significant contributions to the others. The volume includes papers applying the results of experimental psychological studies of parsing to linguistic theory. Others which present computational models of parsing and a mathematical linguistics paper on tree-adjoining grammars and parsing.
Author: David Chiang
Publisher: Springer Science & Business Media
Published: 2011-09-01
Total Pages: 128
ISBN-13: 3642204449
DOWNLOAD EBOOKGrammars are gaining importance in natural language processing and computational biology as a means of encoding theories and structuring algorithms. But one serious obstacle to applications of grammars is that formal language theory traditionally classifies grammars according to their weak generative capacity (what sets of strings they generate) and tends to ignore strong generative capacity (what sets of structural descriptions they generate) even though the latter is more relevant to applications. This book develops and demonstrates a framework for carrying out rigorous comparisons of grammar formalisms in terms of their usefulness for applications, focusing on three areas of application: statistical parsing, natural language translation, and biological sequence analysis. These results should pave the way for theoretical research to pursue results that are more directed towards applications, and for practical research to explore the use of advanced grammar formalisms more easily.
Download or read book Grammars for Language and Genes written by David Chiang and published by Springer Science & Business Media. This book was released on 2011-09-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grammars are gaining importance in natural language processing and computational biology as a means of encoding theories and structuring algorithms. But one serious obstacle to applications of grammars is that formal language theory traditionally classifies grammars according to their weak generative capacity (what sets of strings they generate) and tends to ignore strong generative capacity (what sets of structural descriptions they generate) even though the latter is more relevant to applications. This book develops and demonstrates a framework for carrying out rigorous comparisons of grammar formalisms in terms of their usefulness for applications, focusing on three areas of application: statistical parsing, natural language translation, and biological sequence analysis. These results should pave the way for theoretical research to pursue results that are more directed towards applications, and for practical research to explore the use of advanced grammar formalisms more easily.
Author: Slav Petrov
Publisher: Springer Science & Business Media
Published: 2011-11-03
Total Pages: 127
ISBN-13: 3642227430
DOWNLOAD EBOOKThe impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to automatically and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the flexibility of natural language, it has become standard practice to use statistical models, which assign probabilities for example to the different meanings of a word or the plausibility of grammatical constructions. This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing. Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, demonstrating the effectiveness of the approach in terms of accuracy and speed. The book is intended for students and researchers interested in statistical approaches to Natural Language Processing. Slav’s work Coarse-to-Fine Natural Language Processing represents a major advance in the area of syntactic parsing, and a great advertisement for the superiority of the machine-learning approach. Eugene Charniak (Brown University)
Download or read book Coarse-to-Fine Natural Language Processing written by Slav Petrov and published by Springer Science & Business Media. This book was released on 2011-11-03 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to automatically and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the flexibility of natural language, it has become standard practice to use statistical models, which assign probabilities for example to the different meanings of a word or the plausibility of grammatical constructions. This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing. Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, demonstrating the effectiveness of the approach in terms of accuracy and speed. The book is intended for students and researchers interested in statistical approaches to Natural Language Processing. Slav’s work Coarse-to-Fine Natural Language Processing represents a major advance in the area of syntactic parsing, and a great advertisement for the superiority of the machine-learning approach. Eugene Charniak (Brown University)
