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Markov Models And Linguistic Theory
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Book Synopsis Markov Models and Linguistic Theory by : Friederick J. Damerau
Download or read book Markov Models and Linguistic Theory written by Friederick J. Damerau and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-12-03 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Markov Models and Linguistic Theory".
Book Synopsis Markov Models and Linguistic Theory by : Frederick J. Damerau
Download or read book Markov Models and Linguistic Theory written by Frederick J. Damerau and published by . This book was released on 1971 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Routledge Dictionary of Language and Linguistics by : Hadumod Bussmann
Download or read book Routledge Dictionary of Language and Linguistics written by Hadumod Bussmann and published by Routledge. This book was released on 2006-02-20 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Dictionary of Language and Linguistics is a unique reference work for students and teachers of linguistics. The highly regarded second edition of the Lexikon der Sprachwissenschaft by Hadumod Bussmann has been specifically adapted by a team of over thirty specialist linguists to form the most comprehensive and up-to-date work of its kind in the English language. In over 2,500 entries, the Dictionary provides an exhaustive survey of the key terminology and languages of more than 30 subdisciplines of linguistics. With its term-based approach and emphasis on clear analysis, it complements perfectly Routledge's established range of reference material in the field of linguistics.
Book Synopsis Markov Models for Pattern Recognition by : Gernot A. Fink
Download or read book Markov Models for Pattern Recognition written by Gernot A. Fink and published by Springer Science & Business Media. This book was released on 2014-01-14 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.
Book Synopsis Probabilistic Linguistics by : Rens Bod
Download or read book Probabilistic Linguistics written by Rens Bod and published by MIT Press. This book was released on 2003 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the past forty years, linguistics has been dominated by the idea that language is categorical and linguistic competence discrete. It has become increasingly clear, however, that many levels of representation, from phonemes to sentence structure, show probabilistic properties, as does the language faculty. Probabilistic linguistics conceptualizes categories as distributions and views knowledge of language not as a minimal set of categorical constraints but as a set of gradient rules that may be characterized by a statistical distribution. Whereas categorical approaches focus on the endpoints of distributions of linguistic phenomena, probabilistic approaches focus on the gradient middle ground. Probabilistic linguistics integrates all the progress made by linguistics thus far with a probabilistic perspective. This book presents a comprehensive introduction to probabilistic approaches to linguistic inquiry. It covers the application of probabilistic techniques to phonology, morphology, semantics, syntax, language acquisition, psycholinguistics, historical linguistics, and sociolinguistics. It also includes a tutorial on elementary probability theory and probabilistic grammars.
Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2015-04-09 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 9041 and 9042 constitute the proceedings of the 16th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2015, held in Cairo, Egypt, in April 2015. The total of 95 full papers presented was carefully reviewed and selected from 329 submissions. They were organized in topical sections on grammar formalisms and lexical resources; morphology and chunking; syntax and parsing; anaphora resolution and word sense disambiguation; semantics and dialogue; machine translation and multilingualism; sentiment analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information retrieval, question answering, and information extraction; text classification; speech processing; and applications.
Book Synopsis Computational Cognitive Modeling and Linguistic Theory by : Adrian Brasoveanu
Download or read book Computational Cognitive Modeling and Linguistic Theory written by Adrian Brasoveanu and published by Springer Nature. This book was released on 2020-01-01 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .
Book Synopsis Hidden Markov Models by : JOAO PAULO. PINHO COELHO (TATIANA M.. BOAVENTURA CUNHA, JOSE.)
Download or read book Hidden Markov Models written by JOAO PAULO. PINHO COELHO (TATIANA M.. BOAVENTURA CUNHA, JOSE.) and published by CRC Press. This book was released on 2021-03-31 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: It presents analysis of both continuous and discrete Markov chains. It deals with concepts in a generic way, most books on Hidden Markov Models focus on speech processing applications. It presents the translation of Hidden Markov Models concepts from the realm of formal mathematics into computer codes using a high-level language.
Book Synopsis Linguistic Structure Prediction by : Noah A. Smith
Download or read book Linguistic Structure Prediction written by Noah A. Smith and published by Springer Nature. This book was released on 2022-05-31 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference
Book Synopsis Language Identification by : Fouad Sabry
Download or read book Language Identification written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Language Identification The difficulty of determining which natural language a piece of information is written in is referred to as language identification or language guessing in the field of natural language processing. The computational approaches to this issue regard it as a particular instance of text categorization, which can then be solved using a variety of statistical techniques. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Language Identification Chapter 2: Computational Linguistics Chapter 3: Natural Language Processing Chapter 4: Word-sense Disambiguation Chapter 5: Cognitive Linguistics Chapter 6: Part-of-speech Tagging Chapter 7: N-gram Chapter 8: Language Model Chapter 9: Native-language Identification Chapter 10: Word2vec (II) Answering the public top questions about language identification. (III) Real world examples for the usage of language identification in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of language identification' 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 language identification.
Book Synopsis The Balancing Act by : Judith L. Klavans
Download or read book The Balancing Act written by Judith L. Klavans and published by MIT Press. This book was released on 1996 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches are brought together--including basic choices about what knowledge will be represented symbolically and how it will be obtained, what assumptions underlie the statistical model, what principles motivate the symbolic model, and what the researcher gains by combining approaches. The topics covered include an examination of the relationship between traditional linguistics and statistical methods, qualitative and quantitative methods of speech translation, study and implementation of combined techniques for automatic extraction of terminology, comparative analysis of the contributions of linguistic cues to a statistical word grouping system, automatic construction of a symbolic parser via statistical techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning, and a hybrid symbolic/statistical approach to recovering from parser failures.
Book Synopsis Linguistics and Philosophy by : Adam Makkai
Download or read book Linguistics and Philosophy written by Adam Makkai and published by John Benjamins Publishing. This book was released on 1985-01-01 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains papers by a large number of influencial linguists, written as a tribute to the work of Rulon S. Wells. The volume is subdivided into sections on the Philosophy of Language, Phonology, Syntax, Historical and Typological Linguistics, and Diachronic and Synchronic Derivation.
Book Synopsis The Application of Hidden Markov Models in Speech Recognition by : Mark Gales
Download or read book The Application of Hidden Markov Models in Speech Recognition written by Mark Gales and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.
Book Synopsis Handbook of Cognitive Mathematics by : Marcel Danesi
Download or read book Handbook of Cognitive Mathematics written by Marcel Danesi and published by Springer Nature. This book was released on 2022-10-31 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive mathematics provides insights into how mathematics works inside the brain and how it is interconnected with other faculties through so-called blending and other associative processes. This handbook is the first large collection of various aspects of cognitive mathematics to be amassed into a single title, covering decades of connection between mathematics and other figurative processes as they manifest themselves in language, art, and even algorithms. It will be of use to anyone working in math cognition and education, with each section of the handbook edited by an international leader in that field.
Download or read book Visual Word written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-04 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Visual Word Visual words, as used in image retrieval systems, refer to small parts of an image that carry some kind of information related to the features or changes occurring in the pixels such as the filtering, low-level feature descriptors. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Visual Word Chapter 2: Code Chapter 3: Information retrieval Chapter 4: Image segmentation Chapter 5: Automatic summarization Chapter 6: Latent semantic analysis Chapter 7: Content-based image retrieval Chapter 8: N-gram Chapter 9: Document-term matrix Chapter 10: Full-text search (II) Answering the public top questions about visual word. (III) Real world examples for the usage of visual word in many fields. 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 Visual Word.
Book Synopsis Computation of Language by : Roland Hausser
Download or read book Computation of Language written by Roland Hausser and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of linguistics has been forever changed by the advent of the computer. Not only does the machine permit the processing of enormous quantities of text thereby securing a better empirical foundation for conclusions-but also, since it is a modelling device, the machine allows the implementation of theories of grammar and other kinds of language processing. Models can have very unexpected properties both good and bad-and it is only through extensive tests that the value of a model can be properly assessed. The computer revolution has been going on for many years, and its importance for linguistics was recognized early on, but the more recent spread of personal workstations has made it a reality that can no longer be ignored by anyone in the subject. The present essay, in particular, could never have been written without the aid of the computer. I know personally from conversations and consultations with the author over many months how the book has changed. If he did not have at his command a powerful typesetting program, he would not have been able to see how his writing looked and exactly how it had to be revised and amplified. Even more significant for the evolution of the linguistic theory is the easy testing of examples made possible by the implementation of the parser and the computer-held lexicon. Indeed, the rule set and lexicon grew substantially after the successes of the early implementations created the desire to incorporate more linguistic phenomena.
Book Synopsis Statistics for Corpus Linguistics by : Michael Oakes
Download or read book Statistics for Corpus Linguistics written by Michael Oakes and published by Edinburgh University Press. This book was released on 2019-08-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book in the Edinburgh Textbooks in Empirical Linguistics series is a comprehensive introduction to the statistics currently used in corpus linguistics. Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, and corpus linguists have used an increasingly wide variety of statistics, drawing on techniques developed in a great many fields. This is the first one-volume introduction to the subject.
