Описание: Picks up where Faludi`s previous book "Backlash" left off. It seeks to understand male behaviour in order to close the chasm between the sexes, and asks why men are so fearful and aggressive in the face of women`s independence An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.
Описание: Presents topics in the field of document analysis. This book covers: document structure analysis followed by OCR of Japanese, Tibetan and Indian printed scripts; online and offline handwritten text recognition approaches; Japanese postal and Arabic check processing; and biometric and forensic aspects - individuality of handwriting detection.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, held in Salford, UK in June 2004.The 29 revised full papers and 13 revised short papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on natural language, conversational systems, intelligent querying, linguistic aspects of modeling, information retrieval, natural language text understanding, knowledge bases, knowledge management and content management.
Описание: The cross-linguistic aspect of language processing is becoming a central question in psycholinguistic research: if the goal of psycholinguists is to give a model of the human sentence processor, and not `a language' sentence processor, a test of its cross-linguistic validity is essential. The chapters address truly fundamental issues about the representational primitives of the parsing system and the motivations for the essential characteristics of the parser. The volume also discusses important methodological issues in cross-linguistic research, such as the choices of linguistic material and experimental procedures. It also shows how cross-linguistic research can be pursued in either a monolingual or multilingual approach. This volume contains contributions from experimental and theoretical psycholinguists, and computational researchers. Audience: The book is recommended reading for advanced undergraduates and graduate students in psycholinguistics, linguistics and computational linguisitics, as well as practising researchers in the same fields.
Описание: This book constitutes the refereed proceedings of the 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, held in Alicante, Spain in June 2005.The 29 revised full papers and 18 revised short papers presented were carefully reviewed and selected from 95 submissions. Among the topics addressed are SQL queries, text representation, information retrieval, text categorization, textual mining, information extraction, semantic relations, document analysis, knowledge-based information extraction, entity recognition, textual databases, machine translation, Web content filtering, text mining, lexical relations, semantic annotation, multilingual database quering, question answering, and knowledge extraction.
Описание: This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005.The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.
Автор: Edited by Madeleine Bates Название: Challenges in Natural Language Processing ISBN: 0521032261 ISBN-13(EAN): 9780521032261 Издательство: Cambridge Academ Рейтинг: Цена: 2497 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Although natural language processing has come far, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and apply theoretical work already done? Editors Madeleine Bates and Ralph Weischedel believe it is neither; they feel that several critical issues have never been adequately addressed in either theoretical or applied work, and they have invited capable researchers in the field to do that in Challenges in Natural Language Processing. This volume will be of interest to researchers of computational linguistics in academic and non-academic settings and to graduate students in computational linguistics, artificial intelligence and linguistics.
Автор: John Coleman Название: Introducing Speech and Language Processing ISBN: 052182365X ISBN-13(EAN): 9780521823654 Издательство: Cambridge Academ Рейтинг: Цена: 8326 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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. Students are introduced to topics such as digital signal processing, speech analysis and synthesis, finite-state machines, automatic speech recognition, parsing and probabilistic grammars, and are shown from a very elementary level how to work with two programming languages, C and Prolog. The accompanying CD-ROM contains all the software described in the book, along with a C compiler, Prolog interpreter and sound file editor, thus providing a self-contained, one-stop resource for the learner. Setting a firm grounding in speech and language processing and an invaluable foundation for further study, Introducing Speech and Language Processing is set to become the leading introduction to the field.
Описание: A compilation of the trends and developments in the field of computational intelligence in multimedia processing. It presents a number of applications to intelligent multimedia processing of various Computational Intelligence techniques, such as rough sets, Neural Networks; Fuzzy Logic; Evolutionary Computing; and, Artificial Immune Systems.
Описание: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.
Описание: From the participation of researchers in most important international conferences in the field, it is noted that activities in automatic document processing have been continuously growing. This book is an edited volume in Digital Document Processing where the chapters are written by several internationally renowned researchers in the domain. It will be useful for both students and researchers working on various aspects of document image analysis and recognition problems. It contains chapters on topics that are not covered by any textbook, but are more futuristic like “Going beyond the Myth of Paperlessness”, or interesting application areas like “The Role of Document Image Analysis in Trustworthy Elections” as well as “Word Recognition for Museum Index Cards with SNT-Grid”. Persons developing document analysis software for industry may also find the chapters useful and attractive. The language of the chapters is simple and clear, along with drawings/diagrams wherever necessary. An adequate number of references are given at the end of each chapter. Overall, the book is highly readable and will be an asset to the community. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.
Автор: Watanabe Название: Bayesian Speech and Language Processing ISBN: 1107055571 ISBN-13(EAN): 9781107055575 Издательство: Cambridge Academ Рейтинг: Цена: 7806 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and speech and language processing.
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