Download or read book Memory based Parsing written by Sandra Kübler and published by John Benjamins Publishing. This book was released on 2004-01-01 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL. It provides a comprehensive introduction to the framework and goes on to describe and compare applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree.The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering.

Download or read book Inductive Dependency Parsing written by Joakim Nivre and published by Springer Science & Business Media. This book was released on 2006-08-05 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.

Download or read book Parallel Memory based Parsing on a Marker passing Computer written by Minhwa Chung and published by . This book was released on 1993 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Agent based Evolutionary Computing Approach to Memory based Syntactic Parsing of Natural Language written by Guy de Pauw and published by . This book was released on 2002 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Rational Approaches in Language Science written by Matthew W. Crocker and published by Frontiers Media SA. This book was released on 2022-03-25 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Memory Based Language Processing written by Walter Daelemans and published by Cambridge University Press. This book was released on 2005-09 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.

Download or read book Dependency Parsing written by Sandra Kubler and published by Springer Nature. This book was released on 2022-05-31 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts

Download or read book Bilingual Sentence Processing written by Roberto Heredia and published by Elsevier. This book was released on 2002-07-25 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bilingual Sentence Processing

Download or read book Proceedings of the International Joint Conference on Artificial Intelligence written by and published by . This book was released on 1993 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book IJCAI 91 written by International Joint Conferences on Artificial Intelligence and published by [San Mateo, Calif.] : The Conferences. This book was released on 1991 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Inductive Dependency Parsing written by Joakim Nivre and published by Springer. This book was released on 2006-06-28 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.

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) .

Download or read book The Tenth Conference on Artificial Intelligence for Applications written by and published by . This book was released on 1994 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the tenth annual CAIA include technical sessions of a technology-related nature (scheduling, neural nets and machine learning, natural language, explanation, expert systems, enabling technology, and diagnosis) as well as those with a focus on applications (CAD/VLSI, case-based app

Download or read book Parsing Techniques written by Dick Grune and published by Springer Science & Business Media. This book was released on 2007-10-29 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of Grune and Jacobs’ brilliant work presents new developments and discoveries that have been made in the field. Parsing, also referred to as syntax analysis, has been and continues to be an essential part of computer science and linguistics. Parsing techniques have grown considerably in importance, both in computer science, ie. advanced compilers often use general CF parsers, and computational linguistics where such parsers are the only option. They are used in a variety of software products including Web browsers, interpreters in computer devices, and data compression programs; and they are used extensively in linguistics.

Download or read book Massively Parallel Artificial Intelligence written by Hiroaki Kitano and published by . This book was released on 1994 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increased sophistication and availability of massively parallel supercomputers has had two major impacts on research in artificial intelligence, both of which are addressed in this collection of exciting new AI theories and experiments. Massively parallel computers have been used to push forward research in traditional AI topics such as vision, search, and speech. More important, these machines allow AI to expand in exciting new ways by taking advantage of research in neuroscience and developing new models and paradigms, among them associate memory, neural networks, genetic algorithms, artificial life, society-of-mind models, and subsumption architectures.A number of chapters show that massively parallel computing enables AI researchers to handle significantly larger amounts of data in real time, which changes the way that AI systems can be built, which in turn makes memory-based reasoning and neural-network-based vision systems become practical. Other chapters present the contrasting view that massively parallel computing provides a platform to model and build intelligent systems by simulating the (massively parallel) processes that occur in nature.

Download or read book Principle Based Parsing written by R. C. Berwick and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Speech to Speech Translation written by Hiroaki Kitano and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech--to--Speech Translation: a Massively Parallel Memory-Based Approach describes one of the world's first successful speech--to--speech machine translation systems. This system accepts speaker-independent continuous speech, and produces translations as audio output. Subsequent versions of this machine translation system have been implemented on several massively parallel computers, and these systems have attained translation performance in the milliseconds range. The success of this project triggered several massively parallel projects, as well as other massively parallel artificial intelligence projects throughout the world. Dr. Hiroaki Kitano received the distinguished `Computers and Thought Award' from the International Joint Conferences on Artificial Intelligence in 1993 for his work in this area, and that work is reported in this book.