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The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering linguistics issues such as encoding, entropy, and annotation schemes; defining words, tokens and parts of speech; and morphology. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques; using Prolog to write phase-structure grammars; parsing techniques and syntactic formalisms; semantics, predicate logic and lexical semantics; and analysis of discourse, and applications in dialog systems. The key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs, and additional material. The book is suitable for researchers and students of natural language processing and computational linguistics.
Computer science. --- Programming languages (Electronic computers). --- Artificial intelligence. --- Text processing (Computer science). --- Computational linguistics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Linguistics. --- Programming Languages, Compilers, Interpreters. --- Document Preparation and Text Processing. --- Language Translation and Linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Informatics --- Science --- Data processing --- Natural language processing (Computer science) --- Perl (Computer program language) --- Prolog (Computer program language) --- Pathologically Eclectic Rubbish Lister (Computer program language) --- Practical Extraction and Report Language (Computer program language) --- Scripting languages (Computer science) --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Information Technology --- Artificial Intelligence --- 800.51 --- 800.51 Computerlinguistiek --- Computerlinguistiek
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Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all. Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from the Web in general. The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. So we construct it automatically.
Internet searching. --- Text processing (Computer science) --- Document markup languages. --- Computational linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Searching the Internet --- Web searching --- World Wide Web searching --- Electronic information resource searching --- Data processing --- Text processing (Computer science). --- Information Technology --- Computer Science (Hardware & Networks) --- Information theory. --- Computer science. --- Information storage and retrieval. --- Computer system performance. --- Natural language processing (Computer science). --- Theory of Computation. --- Computer Science, general. --- Information Storage and Retrieval. --- System Performance and Evaluation. --- Information Systems Applications (incl. Internet). --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Informatics --- Science --- Communication theory --- Communication --- Cybernetics --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Computers. --- Computer system failures. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Machine theory --- Calculators --- Cyberspace --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Failures
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Originally formulated for two-class classification problems, support vector machines (SVMs) are now accepted as powerful tools for developing pattern classification and function approximation systems. Recent developments in kernel-based methods include kernel classifiers and regressors and their variants, advancements in generalization theory, and various feature selection and extraction methods. Providing a unique perspective on the state of the art in SVMs, with a particular focus on classification, this thoroughly updated new edition includes a more rigorous performance comparison of classifiers and regressors. In addition to presenting various useful architectures for multiclass classification and function approximation problems, the book now also investigates evaluation criteria for classifiers and regressors. Topics and Features: Clarifies the characteristics of two-class SVMs through extensive analysis Discusses kernel methods for improving the generalization ability of conventional neural networks and fuzzy systems Contains ample illustrations, examples and computer experiments to help readers understand the concepts and their usefulness Includes performance evaluation using publicly available two-class data sets, microarray sets, multiclass data sets, and regression data sets (NEW) Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by cross-validation (NEW) Covers sparse SVMs, an approach to learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning (NEW) Explores incremental training based batch training and active-set training methods, together with decomposition techniques for linear programming SVMs (NEW) Provides a discussion on variable selection for support vector regressors (NEW) An essential guide on the use of SVMs in pattern classification, this comprehensive resource will be of interest to researchers and postgraduate students, as well as professional developers. Dr. Shigeo Abe is a Professor at Kobe University, Graduate School of Engineering. He is the author of the Springer titles Neural Networks and Fuzzy Systems and Pattern Classification: Neuro-fuzzy Methods and Their Comparison.
Computer Science. --- Pattern Recognition. --- Document Preparation and Text Processing. --- Artificial Intelligence (incl. Robotics). --- Control, Robotics, Mechatronics. --- Computer science. --- Artificial intelligence. --- Text processing (Computer science. --- Optical pattern recognition. --- Informatique --- Intelligence artificielle --- Reconnaissance optique des formes (Informatique) --- Text processing (Computer science) --- Pattern recognition systems --- Machine Learning --- Pattern recognition systems. --- Support vector machines. --- Text processing (Computer science). --- Machine learning --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Machine learning. --- Learning, Machine --- Pattern classification systems --- Pattern recognition computers --- Processing, Text (Computer science) --- Engineering. --- Pattern recognition. --- Control engineering. --- Robotics. --- Mechatronics. --- Control. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Artificial intelligence --- Pattern perception --- Computer vision
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Theseproceedingscontaintherevisedversionsofthepaperspresentedatthe5th InternationalWorkshopofFinite-StateMethods andNaturalLanguageProce- ing, FSMNLP 2005. The book includes also the extended abstracts of a number of poster papers and software demos accepted to this conference-like workshop. FSMNLP 2005 was held in Helsinki, Finland, on September 1-2, 2005. The eventwasthe?fthinstanceintheseriesofFSMNLPworkshops,andthe?rstthat wasarrangedasastand-aloneevent,withtwosatelliteeventsofitsown:theTwo- Level Morphology Day (TWOLDAY) and a national workshop on Automata, Words and Logic (AWL). The earlier FSMNLP workshops have been mainly arrangedin conjunction with a bigger event such as an ECAI, ESSLLI or EACL workshop, and this practice may still be favored in the future. The collocationof the threeeventspromoteda multidisciplinaryatmosphere. For this reason, the focus of FSMNLP 2005 covered a variety of topics related but not restricted to ?nite-state methods in natural language processing. The 24 regular papers and 7 poster papers wereselected from 50 submissions to the workshop. Each submitted regular paper was evaluated by at least three Program Committee members, with the help of external referees. In addition to the submitted papers and two invited lectures, six software demos were p- sented. The authors of the papers and extended abstracts come from Canada, Denmark, Finland, France, Germany, India, Ireland, Israel, Japan, The Neth- lands, Norway, Spain, South Africa, Sweden, Turkey, and the USA.
Natural language processing (Computer science) --- Traitement automatique des langues naturelles --- Congresses. --- Congrès --- Computer Science --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Computer science. --- Algorithms. --- Computer logic. --- Mathematical logic. --- Artificial intelligence. --- Text processing (Computer science). --- Computational linguistics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Mathematical Logic and Formal Languages. --- Language Translation and Linguistics. --- Document Preparation and Text Processing. --- Algorithm Analysis and Problem Complexity. --- Logics and Meanings of Programs. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Computer science logic --- Logic, Symbolic and mathematical --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Data processing --- Foundations --- Information Technology --- Artificial Intelligence --- Natural language processing (Computer science). --- Computer software. --- Logic design. --- Artificial Intelligence. --- Natural Language Processing (NLP). --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Switching theory --- Software, Computer --- Computer systems --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing
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