Linguistic Structure Prediction

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Author :
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608454061
Total Pages : 270 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Linguistic Structure Prediction by : Noah A. Smith

Download or read book Linguistic Structure Prediction written by Noah A. Smith and published by Morgan & Claypool Publishers. This book was released on 2011-06-06 with total page 270 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

Computational Modeling of Human Language Acquisition

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Publisher :
ISBN 13 : 9788303102140
Total Pages : 0 pages
Book Rating : 4.1/5 (21 download)

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Book Synopsis Computational Modeling of Human Language Acquisition by : Afra Alishahi

Download or read book Computational Modeling of Human Language Acquisition written by Afra Alishahi and published by . This book was released on 2011 with total page 0 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.

Linguistic Structure Prediction

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Author :
Publisher : Springer Nature
ISBN 13 : 3031021436
Total Pages : 248 pages
Book Rating : 4.0/5 (31 download)

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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

Prediction in Second Language Processing and Learning

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Publisher : John Benjamins Publishing Company
ISBN 13 : 9027258945
Total Pages : 250 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Prediction in Second Language Processing and Learning by : Edith Kaan

Download or read book Prediction in Second Language Processing and Learning written by Edith Kaan and published by John Benjamins Publishing Company. This book was released on 2021-09-15 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is ample evidence that language users, including second-language (L2) users, can predict upcoming information during listening and reading. Yet it is still unclear when, how, and why language users engage in prediction, and what the relation is between prediction and learning. This volume presents a collection of current research, insights, and directions regarding the role of prediction in L2 processing and learning. The contributions in this volume specifically address how different (L1-based) theoretical models of prediction apply to or may be expanded to account for L2 processing, report new insights on factors (linguistic, cognitive, social) that modulate L2 users’ engagement in prediction, and discuss the functions that prediction may or may not serve in L2 processing and learning. Taken together, this volume illustrates various fruitful approaches to investigating and accounting for differences in predictive processing within and across individuals, as well as across populations.

Advanced Structured Prediction

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Publisher : MIT Press
ISBN 13 : 0262028379
Total Pages : 430 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Advanced Structured Prediction by : Sebastian Nowozin

Download or read book Advanced Structured Prediction written by Sebastian Nowozin and published by MIT Press. This book was released on 2014-12-05 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of recent work in the field of structured prediction, the building of predictive machine learning models for interrelated and dependent outputs. The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. They can carry out such tasks as predicting a natural language sentence, or segmenting an image into meaningful components. These models are expressive and powerful, but exact computation is often intractable. A broad research effort in recent years has aimed at designing structured prediction models and approximate inference and learning procedures that are computationally efficient. This volume offers an overview of this recent research in order to make the work accessible to a broader research community. The chapters, by leading researchers in the field, cover a range of topics, including research trends, the linear programming relaxation approach, innovations in probabilistic modeling, recent theoretical progress, and resource-aware learning. Contributors Jonas Behr, Yutian Chen, Fernando De La Torre, Justin Domke, Peter V. Gehler, Andrew E. Gelfand, Sébastien Giguère, Amir Globerson, Fred A. Hamprecht, Minh Hoai, Tommi Jaakkola, Jeremy Jancsary, Joseph Keshet, Marius Kloft, Vladimir Kolmogorov, Christoph H. Lampert, François Laviolette, Xinghua Lou, Mario Marchand, André F. T. Martins, Ofer Meshi, Sebastian Nowozin, George Papandreou, Daniel Průša, Gunnar Rätsch, Amélie Rolland, Bogdan Savchynskyy, Stefan Schmidt, Thomas Schoenemann, Gabriele Schweikert, Ben Taskar, Sinisa Todorovic, Max Welling, David Weiss, Thomáš Werner, Alan Yuille, Stanislav Živný

Principles and Prediction

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Publisher : John Benjamins Publishing
ISBN 13 : 9027276978
Total Pages : 403 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Principles and Prediction by : Mushira Eid

Download or read book Principles and Prediction written by Mushira Eid and published by John Benjamins Publishing. This book was released on 1993-03-25 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume is divided into four sections: typology, syntax, discourse and phonology. Two of the typology papers study the structure and organization of category systems (Joseph Greenberg, Linda Schwartz); the third discusses language typology and universals from the perspective of language acquisition (Fred Eckman). The eight papers in the syntax section are of three types. Edith Moravcsik and James Tai discuss 'general' issues of linguistic theory/domain. Four papers (Mushira Eid, Michael Kac, Nancy Hedberg, Larry Hutchinson) address specific analyses and their implications from language-particular and theoretical perspectives. The papers by Deborah Dahl and Thomas Rindflesch relate theoretical concepts and analyses to natural language processing. In the section on discourse, the contributions by Anita Barry and Amy Sheldon deal with interpersonal conflict; George Yule discusses the selection between direct and indirect speech forms. Helga Delisle and Cynthia Clamons consider ways in which choices among, or variation in, some grammatical and semantic categories may be explainable on pragmatic and discourse grounds. The phonology papers are focused on two major themes: underspecification and borrowing. Four of the articles address the issue of underspecification in phonological representations (Daniel Dinnsen, Joseph Stemberger, Janet Bing, Gregory Iverson). In the other two papers questions of borrowing are discussed, in Nancy Stenson's contribution from a synchronic perspective, and in Gunter Schaarsmidt's paper from a historical one. The volume is completed by a subject index and a language index.

Processing Linguistic Structure

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Publisher :
ISBN 13 : 9781466369078
Total Pages : 168 pages
Book Rating : 4.3/5 (69 download)

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Book Synopsis Processing Linguistic Structure by : Jesse A. Harris

Download or read book Processing Linguistic Structure written by Jesse A. Harris and published by . This book was released on 2011 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: University of Massachusetts Occasional Papers in Linguistics, Vol. 38: Processing Linguistic Structure

Language Down the Garden Path

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Publisher : OUP Oxford
ISBN 13 : 0191664820
Total Pages : 518 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis Language Down the Garden Path by : Montserrat Sanz

Download or read book Language Down the Garden Path written by Montserrat Sanz and published by OUP Oxford. This book was released on 2013-08-30 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thomas G. Bever's now iconic sentence, The horse raced past the barn fell, first appeared in his 1970 paper "The Cognitive Basis of Linguistic Structures". This 'garden path sentence', so-called because of the way it leads the reader or listener down the wrong parsing path, helped spawn the entire subfield of sentence processing. It has become the most often quoted element of a paper which spanned a wealth of research into the relationship between the grammatical system and language processing. Language Down the garden Path traces the lines of research that grew out of Bever's classic paper. Leading scientists review over 40 years of debates on the factors at play in language comprehension, production, and acquisition (the role of prediction, grammar, working memory, prosody, abstractness, syntax, and semantics mapping); the current status of universals and narrow syntax; and virtually every topic relevant in psycholinguistics since 1970. Written in an accessible and engaging style, the book will appeal to all those interested in understanding the questions that shaped, and are still shaping, this field and the ways in which linguists, cognitive scientists, psychologists, and neuroscientists are seeking to answer them.

Linguistic Structure and Change

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Publisher : Oxford University Press
ISBN 13 : 9780198236726
Total Pages : 364 pages
Book Rating : 4.2/5 (367 download)

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Book Synopsis Linguistic Structure and Change by : Thomas Berg

Download or read book Linguistic Structure and Change written by Thomas Berg and published by Oxford University Press. This book was released on 1998 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thomas Berg challenges context-free theories of linguistics; he is concerned with the way the term 'explanation' is typically used in the discipline. He argues that real explanations cannot emerge from a view which asserts the autonomy of language, but only from an approach which seeks to establish a connection between language and the contexts in which it is embedded. The author examines the psychological context in detail. He uses an interactiveactivation model of language processing to derive predictions about synchronic linguistic patterns, the course of linguistic change, and the structure of poetic rhymes. The majority of these predictions are borne out, leading the author to conclude that the structure of language is shaped by the properties of the mechanism which puts it to use, and that psycholinguistics thus qualifies as one likely approach from which to derive an explanation of linguistic structure.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3319235257
Total Pages : 773 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Annalisa Appice

Download or read book Machine Learning and Knowledge Discovery in Databases written by Annalisa Appice and published by Springer. This book was released on 2015-08-28 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Language and Automata Theory and Applications

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Publisher : Springer
ISBN 13 : 3319773135
Total Pages : 321 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Language and Automata Theory and Applications by : Shmuel Tomi Klein

Download or read book Language and Automata Theory and Applications written by Shmuel Tomi Klein and published by Springer. This book was released on 2018-04-03 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Language and Automata Theory and Applications, LATA 2018, held in Ramat Gan, Israel, in April 2018.The 20 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 58 submissions. The papers cover fields like algebraic language theory, algorithms for semi-structured data mining, algorithms on automata and words, automata and logic, automata for system analysis and programme verification, automata networks, automatic structures, codes, combinatorics on words, computational complexity, concurrency and Petri nets, data and image compression, descriptional complexity, foundations of finite state technology, foundations of XML, grammars (Chomsky hierarchy, contextual, unification, categorial, etc.), grammatical inference and algorithmic learning, graphs and graph transformation, language varieties and semigroups, language-based cryptography, mathematical and logical foundations of programming methodologies, parallel and regulated rewriting, parsing, patterns, power series, string processing algorithms, symbolic dynamics, term rewriting, transducers, trees, tree languages and tree automata, and weighted automata.

The Oxford Reference Guide to Lexical Functional Grammar

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Publisher : Oxford University Press, USA
ISBN 13 : 0198733305
Total Pages : 856 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis The Oxford Reference Guide to Lexical Functional Grammar by : Mary Dalrymple

Download or read book The Oxford Reference Guide to Lexical Functional Grammar written by Mary Dalrymple and published by Oxford University Press, USA. This book was released on 2019-07-10 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the most comprehensive reference work to date on Lexical Functional Grammar (LFG). The authors provide detailed and extensive coverage of the analysis of syntax, semantics, morphology, prosody, and information structure, and how these aspects of linguistic structure interact in the nontransformational framework of LFG. The book is divided into three parts. The first part examines the syntactic theory and formal architecture of LFG, with detailed explanations and comprehensive illustration, providing an unparalleled introduction to the fundamentals of the theory. Part two explores non-syntactic levels of linguistic structure, including the syntax-semantics interface and semantic representation, argument structure, information structure, prosodic structure, and morphological structure, and how these are related in the projection architecture of LFG. Chapters in the third part illustrate the theory more explicitly by presenting explorations of the syntax and semantics of a range of representative linguistic phenomena: modification, anaphora, control, coordination, and long-distance dependencies. The final chapter discusses LFG-based work not covered elsewhere in the book, as well as new developments in the theory. The volume will be an invaluable reference for graduate and advanced undergraduate students and researchers in a wide range of linguistic sub-fields, including syntax, morphology, semantics, information structure, and prosody, as well as those working in language documentation and description.

The Grammar Network

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Publisher : Cambridge University Press
ISBN 13 : 1108498817
Total Pages : 309 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis The Grammar Network by : Holger Diessel

Download or read book The Grammar Network written by Holger Diessel and published by Cambridge University Press. This book was released on 2019-08-15 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a dynamic network model of grammar that explains how linguistic structure is shaped by language use.

Natural Language Processing

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Publisher : Cambridge University Press
ISBN 13 : 1108349773
Total Pages : 487 pages
Book Rating : 4.1/5 (83 download)

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Book Synopsis Natural Language Processing by : Yue Zhang

Download or read book Natural Language Processing written by Yue Zhang and published by Cambridge University Press. This book was released on 2021-01-07 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.

Introduction to Natural Language Processing

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Publisher : MIT Press
ISBN 13 : 0262042843
Total Pages : 535 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein

Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Combinatory Linguistics

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Publisher : Walter de Gruyter
ISBN 13 : 311029687X
Total Pages : 304 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Combinatory Linguistics by : Cem Bozsahin

Download or read book Combinatory Linguistics written by Cem Bozsahin and published by Walter de Gruyter. This book was released on 2012-12-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines to what extent the mediating relation between constituents and their semantics can arise from combinatory knowledge of words. It traces the roots of Combinatory Categorial Grammar, and uses the theory to promote a Humean question in linguistics and cognitive science: Why do we see limited constituency and dependency in natural languages, despite their diversity and potential infinity? A potential answer is that constituents and dependencies might have arisen from a single resource: adjacency. The combinatory formulation of adjacency constrains possible grammars.

Quantitative Syntax Analysis

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Author :
Publisher : Walter de Gruyter
ISBN 13 : 311027292X
Total Pages : 237 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Quantitative Syntax Analysis by : Reinhard Köhler

Download or read book Quantitative Syntax Analysis written by Reinhard Köhler and published by Walter de Gruyter. This book was released on 2012-01-27 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book which brings together the fields of theoretical and empirical studies in syntax on the one hand and the methodology of quantitative linguistics on the other hand. The author provides the theoretical background for this enterprise on the basis of the philosophy of science and of linguistic considerations including a discussion of Chomsky’s attitude against the application of statistical methods to syntactic phenomena. He gives a short introduction into the aims and methods of the quantitative approach to linguistics in general and to syntax in particular. The following chapters inform the reader about the measurement of syntactic properties, possibilities to acquire empirical data from syntactically annotated text corpora and the most common mathematical models and methods for the analysis of syntactic and syntagmatic material. Then, a number of prominent approaches and hypotheses about interrelations between properties of syntactic constructions are presented and evaluated on material from various languages and text kinds. Finally, the theory of synergetic linguistics and its application to syntax is introduced including the integration of such famous hypotheses as Yngve’s depth hypothesis and Hawkins’s "Early immediate constituent" principle. The book concludes with a number of perspectives with respect to follow-up studies and extensions to the presented models with interfaces to neighbouring disciplines.