Natural Language Parsing And Linguistic Theories

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Natural Language Parsing And Linguistic Theories
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Author : U. Reyle
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Natural Language Parsing And Linguistic Theories written by U. Reyle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
presupposition fails, we now give a short introduction into Unification Grammar. Since all implementations discussed in this volume use PROLOG (with the exception of BlockjHaugeneder), we felt that it would also be useful to explain the difference between unification in PROLOG and in UG. After the introduction to UG we briefly summarize the main arguments for using linguistic theories in natural language processing. We conclude with a short summary of the contributions to this volume. UNIFICATION GRAMMAR 3 Feature Structures or Complex Categories. Unification Grammar was developed by Martin Kay (Kay 1979). Martin Kay wanted to give a precise defmition (and implementation) of the notion of 'feature'. Linguists use features at nearly all levels of linguistic description. In phonetics, for instance, the phoneme b is usually described with the features 'bilabial', 'voiced' and 'nasal'. In the case of b the first two features get the value +, the third (nasal) gets the value -. Feature value pairs in phonology are normally represented as a matrix. bilabial: + voiced: + I nasal: - [Feature matrix for b.] In syntax features are used, for example, to distinguish different noun classes. The Latin noun 'murus' would be characterized by the following feature-value pairs: gender: masculin, number: singular, case: nominative, pred: murus. Besides a matrix representation one frequently fmds a graph representation for feature value pairs. The edges of the graph are labelled by features. The leaves denote the value of a feature.
Representation Learning For Natural Language Processing
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Author : Zhiyuan Liu
language : en
Publisher: Springer Nature
Release Date : 2020-07-03
Representation Learning For Natural Language Processing written by Zhiyuan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with Computers categories.
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Natural Language And Speech
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Author : Ewan Klein
language : en
Publisher:
Release Date : 1991-11-15
Natural Language And Speech written by Ewan Klein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-11-15 with categories.
This volume presents the proceedings of the Symposium on Natural Language and Speech held during the ESPRIT conference of November 1991. The symposiumwas organized by the newly launched Network of Excellence on Language and Speech which brings together the foremost European experts and institutions in the two domains. The proceedings contain ten invited papers from leading experts in language and speech research, together with a set of position papers from a panel session on 'Spoken language systems: technological goals and integration issues'. The papers cover a wide spectrum of research topics, ranging from logical aspects of discourse structure to problems of prosody and automatic speech understanding. A recurrent theme is the development of an integrated cognitively motivated theory of the process by which spoken language is understood. This volume is the second of the ESPRIT Basic Research Series. The ESPRIT Basic Research efforts aim at forging stronglinks between academic and industrial teams carrying out research, often interdisciplinary, at the forefront of information technology. The quality of content of this series and its broad distribution should have a majorimpact in making these advances accessible to both academic and industrial researchers.
Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01
Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
The Handbook Of Computational Linguistics And Natural Language Processing
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Author : Alexander Clark
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-24
The Handbook Of Computational Linguistics And Natural Language Processing written by Alexander Clark and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-24 with Language Arts & Disciplines categories.
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Natural Language Processing And Computational Linguistics
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Author : Mohamed Zakaria Kurdi
language : en
Publisher: John Wiley & Sons
Release Date : 2016-08-22
Natural Language Processing And Computational Linguistics written by Mohamed Zakaria Kurdi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-22 with Technology & Engineering categories.
Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.
Multilingual Natural Language Processing Applications
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Author : Daniel Bikel
language : en
Publisher: IBM Press
Release Date : 2012-05-11
Multilingual Natural Language Processing Applications written by Daniel Bikel and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-11 with Business & Economics categories.
Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.
Natural Language Processing
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Author : BHARATI AKSHAR
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 1995-01-01
Natural Language Processing written by BHARATI AKSHAR and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-01 with Computers categories.
This book presents a Paninian perspective towards natural language processing. It has three objectives: (1) to introduce the reader to NLP, (2) to introduce the reader to Paninian Grammar (PG) which is the application of the original Paninian framework to the processing of modern Indian languages using the computer, (3) to compare Paninian Grammar (PG) framework with modern Western computational grammar frameworks.Indian languages like many other languages of the world have relatively free word order. They also have a rich system of case-endings and post-positions. In contrast to this, the majority of grammar frameworks and designed for English and other positional languages. The unique aspect of the computational grammar describes here is that it is designed for free word order languages and makes special use of case-endings and post-positions. Efficient parsers for the grammar are also described. The computational grammar is likely to be suitable for other free word order languages of the world.Second half of the book presents a comparison of Paninian Grammar (PG) with existing modern western computational grammars. It introduces three western grammar frameworks using examples from English: Lexical Functional Grammar (LFG), Tree Adjoining Grammar (TAG), and Government and Binding (GB). The presentation does not assume any background on part of the reader regarding these frameworks. Each presentation is followed by either a discussion on applicability of the framework to free word order languages, or a comparison with PG framework.
Foundations Of Statistical Natural Language Processing
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Author : Christopher Manning
language : en
Publisher: MIT Press
Release Date : 1999-05-28
Foundations Of Statistical Natural Language Processing written by Christopher Manning and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-05-28 with Language Arts & Disciplines categories.
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Linguistic Fundamentals For Natural Language Processing
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Author : Emily M. Bender
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2013-06-01
Linguistic Fundamentals For Natural Language Processing written by Emily M. Bender and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-01 with Computers categories.
Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages