Hybrid Connectionist Natural Language Processing
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Connectionist Natural Language Processing
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Author : Noel Sharkey
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Connectionist Natural Language Processing written by Noel Sharkey and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Connection science is a new information-processing paradigm which attempts to imitate the architecture and process of the brain, and brings together researchers from disciplines as diverse as computer science, physics, psychology, philosophy, linguistics, biology, engineering, neuroscience and AI. Work in Connectionist Natural Language Processing (CNLP) is now expanding rapidly, yet much of the work is still only available in journals, some of them quite obscure. To make this research more accessible this book brings together an important and comprehensive set of articles from the journal CONNECTION SCIENCE which represent the state of the art in Connectionist natural language processing; from speech recognition to discourse comprehension. While it is quintessentially Connectionist, it also deals with hybrid systems, and will be of interest to both theoreticians as well as computer modellers. Range of topics covered: Connectionism and Cognitive Linguistics Motion, Chomsky's Government-binding Theory Syntactic Transformations on Distributed Representations Syntactic Neural Networks A Hybrid Symbolic/Connectionist Model for Understanding of Nouns Connectionism and Determinism in a Syntactic Parser Context Free Grammar Recognition Script Recognition with Hierarchical Feature Maps Attention Mechanisms in Language Script-Based Story Processing A Connectionist Account of Similarity in Vowel Harmony Learning Distributed Representations Connectionist Language Users Representation and Recognition of Temporal Patterns A Hybrid Model of Script Generation Networks that Learn about Phonological Features Pronunciation in Text-to-Speech Systems
Handbook Of Natural Language Processing
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Author : Robert Dale
language : en
Publisher: CRC Press
Release Date : 2000-07-25
Handbook Of Natural Language Processing written by Robert Dale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-25 with Business & Economics categories.
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-15
Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing written by Stefan Wermter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-15 with Computers categories.
This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.
Connectionist Approaches To Natural Language Processing
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Author : R G Reilly
language : en
Publisher: Routledge
Release Date : 2016-07-22
Connectionist Approaches To Natural Language Processing written by R G Reilly and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-22 with Psychology categories.
Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely assessment of the state of the art in the field. It includes contributions from some of the best known researchers in CNLP and covers a wide range of topics. The book comprises four main sections dealing with connectionist approaches to semantics, syntax, the debate on representational adequacy, and connectionist models of psycholinguistic processes. The semantics and syntax sections deal with a variety of approaches to issues in these traditional linguistic domains, covering the spectrum from pure connectionist approaches to hybrid models employing a mixture of connectionist and classical AI techniques. The debate on the fundamental suitability of connectionist architectures for dealing with natural language processing is the focus of the section on representational adequacy. The chapters in this section represent a range of positions on the issue, from the view that connectionist models are intrinsically unsuitable for all but the associationistic aspects of natural language, to the other extreme which holds that the classical conception of representation can be dispensed with altogether. The final section of the book focuses on the application of connectionist models to the study of psycholinguistic processes. This section is perhaps the most varied, covering topics from speech perception and speech production, to attentional deficits in reading. An introduction is provided at the beginning of each section which highlights the main issues relating to the section topic and puts the constituent chapters into a wider context.
Algorithmic Learning Theory Ii
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Author : Setsuo Arikawa
language : en
Publisher: IOS Press
Release Date : 1992
Algorithmic Learning Theory Ii written by Setsuo Arikawa and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Algorithms categories.
Encyclopedia Of Library And Information Sciences
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Author : John D. McDonald
language : en
Publisher: CRC Press
Release Date : 2017-03-15
Encyclopedia Of Library And Information Sciences written by John D. McDonald and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-15 with Computers categories.
The Encyclopedia of Library and Information Sciences, comprising of seven volumes, now in its fourth edition, compiles the contributions of major researchers and practitioners and explores the cultural institutions of more than 30 countries. This major reference presents over 550 entries extensively reviewed for accuracy in seven print volumes or online. The new fourth edition, which includes 55 new entires and 60 revised entries, continues to reflect the growing convergence among the disciplines that influence information and the cultural record, with coverage of the latest topics as well as classic articles of historical and theoretical importance.
New Methods In Language Processing
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Author : D. B. Jones
language : en
Publisher: Routledge
Release Date : 2013-11-05
New Methods In Language Processing written by D. B. Jones and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-05 with Language Arts & Disciplines categories.
Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.
Hybrid Connectionist Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher:
Release Date : 1995
Hybrid Connectionist Natural Language Processing written by Stefan Wermter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Hybrid Intelligent System
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-24
Hybrid Intelligent System written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-24 with Computers categories.
What Is Hybrid Intelligent System A hybrid intelligent system is a software system that uses, in parallel, a combination of methods and techniques from various subfields in artificial intelligence. Some examples of these methods and techniques include:Neuro-symbolic systemsNeuro-fuzzy systemsModels that are hybrids of connectionist and symbolic logicExpert systems that are fuzzyConnectionist expert systemsNetworks of neurons that have evolved over timeSystems based on genetic fuzzy logicHybridization of rough and fuzzyLearning through reinforcement, using fuzzy, neural, or evolutionary approaches, in addition to symbolic reasoning approaches. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Hybrid Intelligent System Chapter 2: List of artificial intelligence projects Chapter 3: Cognitive Science Chapter 4: Connectionism Chapter 5: Symbolic Artificial Intelligence Chapter 6: Intelligent Control Chapter 7: Computational Intelligence Chapter 8: Cognitive Architecture Chapter 9: Computational Cognition Chapter 10: Connectionist Expert System (II) Answering the public top questions about hybrid intelligent system. (III) Real world examples for the usage of hybrid intelligent system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of hybrid intelligent system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid intelligent system.
Connectionist Speech Recognition
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Author : Hervé A. Bourlard
language : en
Publisher: Springer Science & Business Media
Release Date : 1994
Connectionist Speech Recognition written by Hervé A. Bourlard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.