A Computational Model Of Quantification In Natural Language

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A Computational Model of Quantification in Natural Language

Author : Avril Frances Kenney
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (826 download)

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Book Synopsis A Computational Model of Quantification in Natural Language by : Avril Frances Kenney

Download or read book A Computational Model of Quantification in Natural Language written by Avril Frances Kenney and published by . This book was released on 2012 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural languages have various ways of expressing quantification, such as the English words "some" and "all." Different such words exist in different languages, and the same word can communicate quite different quantities depending on the context. This thesis presents a computational framework for modeling quantificational meanings and their use in communication. The model can represent meanings that depend on absolute amounts (e.g., two) as well as relative amounts (e.g., half of the total) and context-dependent amounts. It can also represent meanings with presuppositions. Communication between a speaker and a listener is modeled as single exchanges in which both participants have noisy perception of the actual state of the world, the speaker tries to communicate some quantity to the listener by using some word chosen to be informative, and the listener tries to infer the quantity using the word and the assumption that the speaker was being informative. The usage patterns predicted by the model are qualitatively similar to how the words are actually used. The model also shows that the sets of words in real languages result in more efficient communication than randomly selected sets of words with comparable meanings.

A Computational Model of Natural Language Communication

Author : Roland R. Hausser
Publisher : Springer Science & Business Media
ISBN 13 : 3540354778
Total Pages : 365 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis A Computational Model of Natural Language Communication by : Roland R. Hausser

Download or read book A Computational Model of Natural Language Communication written by Roland R. Hausser and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ideal of using human language to control machines requires a practical theory of natural language communication that includes grammatical analysis of language signs, plus a model of the cognitive agent, with interfaces for recognition and action, an internal database, and an algorithm for reading content in and out. This book offers a functional framework for theoretical analysis of natural language communication and for practical applications of natural language processing.

Computational Complexity and Natural Language

Author : G. Edward Barton
Publisher : Bradford Books
ISBN 13 : 9780262524056
Total Pages : 350 pages
Book Rating : 4.5/5 (24 download)

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Book Synopsis Computational Complexity and Natural Language by : G. Edward Barton

Download or read book Computational Complexity and Natural Language written by G. Edward Barton and published by Bradford Books. This book was released on 1987 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: A nontechnical introduction to complexity theory: its strengths, its weaknesses, and how it can be used to study grammars.

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications

Author :
Publisher : Elsevier
ISBN 13 : 0444640436
Total Pages : 537 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications by :

Download or read book Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications written by and published by Elsevier. This book was released on 2018-08-27 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more

Computational Models of Natural Language Processing

Author : Bruno G. Bara
Publisher : North Holland
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.:/5 (42 download)

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Book Synopsis Computational Models of Natural Language Processing by : Bruno G. Bara

Download or read book Computational Models of Natural Language Processing written by Bruno G. Bara and published by North Holland. This book was released on 1984 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Cognitive Modeling and Linguistic Theory

Author : Adrian Brasoveanu
Publisher : Springer Nature
ISBN 13 : 303031846X
Total Pages : 299 pages
Book Rating : 4.0/5 (33 download)

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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) .

Understanding Language Understanding

Author : Ashwin Ram
Publisher : MIT Press
ISBN 13 : 9780262181921
Total Pages : 524 pages
Book Rating : 4.1/5 (819 download)

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Book Synopsis Understanding Language Understanding by : Ashwin Ram

Download or read book Understanding Language Understanding written by Ashwin Ram and published by MIT Press. This book was released on 1999 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction.

Fuzzy Quantifiers in Natural Language

Author : Ingo Glöckner
Publisher :
ISBN 13 : 9783899592054
Total Pages : 465 pages
Book Rating : 4.5/5 (92 download)

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Book Synopsis Fuzzy Quantifiers in Natural Language by : Ingo Glöckner

Download or read book Fuzzy Quantifiers in Natural Language written by Ingo Glöckner and published by . This book was released on 2004 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantification in Natural Languages

Author : Emmon W. Bach
Publisher : Springer Science & Business Media
ISBN 13 : 9780792331292
Total Pages : 774 pages
Book Rating : 4.3/5 (312 download)

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Book Synopsis Quantification in Natural Languages by : Emmon W. Bach

Download or read book Quantification in Natural Languages written by Emmon W. Bach and published by Springer Science & Business Media. This book was released on 1995-02-28 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This extended collection of papers is the result of putting recent ideas on quantification to work on a wide variety of languages. A central perspective of many of the papers follows the recognition of two broad types of quantificational strategies, one associated with nominal structures and determiners, the other with adverbial and other non-nominal expression (`D-quantifiers' and `A-quantifiers'). The papers demonstrate both the unity and the variety of natural language quantificational forms and meanings. Many of the papers also shed new light on questions of language typology and syntactic and morphological variation. The languages discussed include English, Dutch, Italian, American Sign Language, Hindi, and a number of languages of Australia, Greenland, and the Americas. These comparative studies provide initial data for a typology of quantificational structures in natural languages, with important implications for the study of universal grammar. The book consists of research papers aimed at linguists, philosophers, and psychologists interested in semantics and linguistic form. An introduction presents a sketch of the background of this research and some of the central issues discussed, with pointers toward the included papers.

Foundations of Computational Linguistics

Author : Roland Hausser
Publisher : Springer Science & Business Media
ISBN 13 : 3662043378
Total Pages : 585 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Foundations of Computational Linguistics by : Roland Hausser

Download or read book Foundations of Computational Linguistics written by Roland Hausser and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an interdisciplinary field, computational linguistics has its sources in several areas of science, each with its own goals, methods, and historical background. Thereby, it has remained unclear which components fit together and which do not. This suggests three possible approaches to designing a computational linguistics textbook. The first approach proceeds from one's own school of thought, usually determined of study, rather than by a well-informed, delib by chance, such as one's initial place erate choice. The goal is to extend the inherited theoretical framework or method to as many aspects of language analysis as possible. As a consequence, the issue of com pat ibility with other approaches in the field need not be addressed and one's assumptions are questioned at best in connection with 'puzzling problems. ' The second approach takes the viewpoint of an objective observer and aims to survey the field as completely as possible. However, the large number of different schools, methods, and tasks necessitates a subjective selection. Furthermore, the pre sumed neutrality provides no incentive to investigate the compatibility between the elements selected. The third approach aims at solving a comprehensive functional task, with the differ To arrive at the desired solution, suitability ent approaches being ordered relative to it. and compatibility of the different elements adopted must be investigated with regard to the task at hand.

Natural Language Processing and Computational Linguistics

Author : Bhargav Srinivasa-Desikan
Publisher : Packt Publishing Ltd
ISBN 13 : 1788837037
Total Pages : 298 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Natural Language Processing and Computational Linguistics by : Bhargav Srinivasa-Desikan

Download or read book Natural Language Processing and Computational Linguistics written by Bhargav Srinivasa-Desikan and published by Packt Publishing Ltd. This book was released on 2018-06-29 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning techniques for text analysis Book Description Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. What you will learn Why text analysis is important in our modern age Understand NLP terminology and get to know the Python tools and datasets Learn how to pre-process and clean textual data Convert textual data into vector space representations Using spaCy to process text Train your own NLP models for computational linguistics Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn Employ deep learning techniques for text analysis using Keras Who this book is for This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!

Fuzzy Quantifiers

Author : Ingo Glöckner
Publisher : Springer
ISBN 13 : 3540325034
Total Pages : 467 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Fuzzy Quantifiers by : Ingo Glöckner

Download or read book Fuzzy Quantifiers written by Ingo Glöckner and published by Springer. This book was released on 2008-08-11 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a linguistic perspective, it is quanti?cation which makes all the di?- ence between “having no dollars” and “having a lot of dollars”. And it is the meaning of the quanti?er “most” which eventually decides if “Most Ame- cans voted Kerry” or “Most Americans voted Bush” (as it stands). Natural language(NL)quanti?erslike“all”,“almostall”,“many”etc. serveanimp- tant purpose because they permit us to speak about properties of collections, as opposed to describing speci?c individuals only; in technical terms, qu- ti?ers are a ‘second-order’ construct. Thus the quantifying statement “Most Americans voted Bush” asserts that the set of voters of George W. Bush c- prisesthemajorityofAmericans,while“Bushsneezes”onlytellsussomething about a speci?c individual. By describing collections rather than individuals, quanti?ers extend the expressive power of natural languages far beyond that of propositional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like “tall”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this expressive power and make fuzzy quanti?cation available to technical applications, a number of proposals have been made how to model fuzzy quanti?ers in the framework of fuzzy set theory. These approaches usually reduce fuzzy quanti?cation to a comparison of scalar or fuzzy cardinalities [197, 132].

Computational Analysis of Storylines

Author : Tommaso Caselli
Publisher : Cambridge University Press
ISBN 13 : 1108490573
Total Pages : 275 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Computational Analysis of Storylines by : Tommaso Caselli

Download or read book Computational Analysis of Storylines written by Tommaso Caselli and published by Cambridge University Press. This book was released on 2021-11-25 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of recent computational (deep learning) approaches to understanding news and nonfiction stories.

Integration of Natural Language and Vision Processing

Author : Paul Mc Kevitt
Publisher : Springer Science & Business Media
ISBN 13 : 9401102732
Total Pages : 307 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Integration of Natural Language and Vision Processing by : Paul Mc Kevitt

Download or read book Integration of Natural Language and Vision Processing written by Paul Mc Kevitt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP) there has heretofore been little progress on integrating these subareas of Artificial Intelligence (AI). This book contains a set of edited papers addressing computational models and systems for the integration of NLP and VP. The papers focus on site descriptions such as that of the large Japanese $500 million Real World Computing (RWC) project, on historical philosophical issues, on systems which have been built and which integrate the processing of visual scenes together with language about them, and on spatial relations which appear to be the key to integration. The U.S.A., Japan and the EU are well reflected, showing up the fact that integration is a truly international issue. There is no doubt that all of this will be necessary for the InformationSuperHighways of the future.

Natural Language Processing for Corpus Linguistics

Author : Jonathan Dunn
Publisher : Cambridge University Press
ISBN 13 : 1009083740
Total Pages : 149 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Natural Language Processing for Corpus Linguistics by : Jonathan Dunn

Download or read book Natural Language Processing for Corpus Linguistics written by Jonathan Dunn and published by Cambridge University Press. This book was released on 2022-03-31 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.

Quantifiers and Cognition: Logical and Computational Perspectives

Author : Jakub Szymanik
Publisher : Springer
ISBN 13 : 3319287494
Total Pages : 213 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Quantifiers and Cognition: Logical and Computational Perspectives by : Jakub Szymanik

Download or read book Quantifiers and Cognition: Logical and Computational Perspectives written by Jakub Szymanik and published by Springer. This book was released on 2016-02-19 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume on the semantic complexity of natural language explores the question why some sentences are more difficult than others. While doing so, it lays the groundwork for extending semantic theory with computational and cognitive aspects by combining linguistics and logic with computations and cognition. Quantifier expressions occur whenever we describe the world and communicate about it. Generalized quantifier theory is therefore one of the basic tools of linguistics today, studying the possible meanings and the inferential power of quantifier expressions by logical means. The classic version was developed in the 1980s, at the interface of linguistics, mathematics and philosophy. Before this volume, advances in "classic" generalized quantifier theory mainly focused on logical questions and their applications to linguistics, this volume adds a computational component, the third pillar of language use and logical activity. This book is essential reading for researchers in linguistics, philosophy, cognitive science, logic, AI, and computer science.

Modern Computational Models of Semantic Discovery in Natural Language

Author : Žižka, Jan
Publisher : IGI Global
ISBN 13 : 146668691X
Total Pages : 353 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Modern Computational Models of Semantic Discovery in Natural Language by : Žižka, Jan

Download or read book Modern Computational Models of Semantic Discovery in Natural Language written by Žižka, Jan and published by IGI Global. This book was released on 2015-07-17 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.