Parse
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Parsing Techniques
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Author : Dick Grune
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-29
Parsing Techniques written by Dick Grune 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 2007-10-29 with Computers categories.
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.
How To Parse
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Author : Edwin A. Abbott
language : en
Publisher: BoD – Books on Demand
Release Date : 2023-11-18
How To Parse written by Edwin A. Abbott and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-18 with Fiction categories.
Reprint of the original, first published in 1875.
How To Parse
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Author : Edwin Abbott Abbott
language : en
Publisher:
Release Date : 1875
How To Parse written by Edwin Abbott Abbott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1875 with categories.
New Developments In Parsing Technology
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Author : H. Bunt
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-27
New Developments In Parsing Technology written by H. Bunt 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 2006-01-27 with Computers categories.
Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state of the field for graduate students, and as a reference for established researchers.
Efficient Parsing For Natural Language
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Author : Masaru Tomita
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Efficient Parsing For Natural Language written by Masaru Tomita 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 2013-04-17 with Computers categories.
Parsing Efficiency is crucial when building practical natural language systems. 'Ibis is especially the case for interactive systems such as natural language database access, interfaces to expert systems and interactive machine translation. Despite its importance, parsing efficiency has received little attention in the area of natural language processing. In the areas of compiler design and theoretical computer science, on the other hand, parsing algorithms 3 have been evaluated primarily in terms of the theoretical worst case analysis (e.g. lXn», and very few practical comparisons have been made. This book introduces a context-free parsing algorithm that parses natural language more efficiently than any other existing parsing algorithms in practice. Its feasibility for use in practical systems is being proven in its application to Japanese language interface at Carnegie Group Inc., and to the continuous speech recognition project at Carnegie-Mellon University. This work was done while I was pursuing a Ph.D degree at Carnegie-Mellon University. My advisers, Herb Simon and Jaime Carbonell, deserve many thanks for their unfailing support, advice and encouragement during my graduate studies. I would like to thank Phil Hayes and Ralph Grishman for their helpful comments and criticism that in many ways improved the quality of this book. I wish also to thank Steven Brooks for insightful comments on theoretical aspects of the book (chapter 4, appendices A, B and C), and Rich Thomason for improving the linguistic part of tile book (the very beginning of section 1.1).
How To Parse
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Author : Edwin Abbott Abbott
language : en
Publisher:
Release Date : 1875
How To Parse written by Edwin Abbott Abbott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1875 with English language categories.
Natural Language Parsing Systems
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Author : Leonard Bolc
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Natural Language Parsing Systems written by Leonard Bolc 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.
Up to now there has been no scientific publication on natural lan guage research that presents a broad and complex description of the current problems of parsing in the context of Artificial Intelli gence. However, there are many interesting results from this domain appearing mainly in numerous articles published in pro fessional journals. In view of this situation, the objective of this book is to enable scientists from different countries to present the results of their research on natural language parsing in the form of more detailed papers than would be possible in professional jour nals. This book thus provides a collection of studies written by well known scientists whose earlier publications have greatly contributed to the development of research on natural language parsing. Jaime G. Carbonell and Philip J. Hayes present in their paper "Robust Parsing Using Multiple Construction-Specific Strategies" two small experimental parsers, implemented to illustrate the advantages of a multi-strategy approach to parsers, with strategies selected according to the type of construction being parsed at any given time. This presentation is followed by the description of a parsing algorithm, integrating some of the best features of the two smaller parsers, including case-frame instantiation and partial pat tern-matching strategies.
Industrial Parsing Of Software Manuals
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Author : Richard F. E. Sutcliffe
language : en
Publisher: Rodopi
Release Date : 1996
Industrial Parsing Of Software Manuals written by Richard F. E. Sutcliffe and has been published by Rodopi this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
The task of language engineering is to develop the technology for building computer systems which can perform useful linguistic tasks such as machine assisted translation, text retrieval, message classification and document summarisation. Such systems often require the use of a parser which can extract specific types of grammatical data from pre-defined classes of input text. There are many parsers already available for use in language engineering systems. However, many different linguistic formalisms and parsing algorithms are employed. Grammatical coverage varies, as does the nature of the syntactic information extracted. Direct comparison between systems is difficult because each is likely to have been evaluated using different test criteria. In this volume, eight different parsers are applied to the same task, that of analysing a set of sentences derived from software instruction manuals. Each parser is presented in a separate chapter. Evaluation of performance is carried out using a standard set of criteria with the results being presented in a set of tables which have the same format for each system. Three additional chapters provide further analysis of the results as well as discussing possible approaches to the standardisation of parse tree data. Five parse trees are provided for each system in an appendix, allowing further direct comparison between systems by the reader. The book will be of interest to students, researchers and practitioners in the areas of computational linguistics, computer science, information retrieval, language engineering, linguistics and machine assisted translation.
Adaptive Parsing
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Author : Jill Fain Lehman
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Adaptive Parsing written by Jill Fain Lehman 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.
As the computer gradually automates human-oriented tasks in multiple environ ments, the interface between computers and the ever-wider population of human users assumes progressively increasing importance. In the office environment, for instance, clerical tasks such as document filing and retrieval, and higher-level tasks such as scheduling meetings, planning trip itineraries, and producing documents for publication, are being partially or totally automated. The range of users for office oriented software includes clerks, secretaries, and businesspersons, none of whom are predominantly computer literate. The same phenomenon is echoed in the factory production line, in the securities trading floor, in government agencies, in educa tional institutions, and even in the home. The arcane command languages of yes teryear have proven too high a barrier for smooth acceptance of computerized func tions into the workplace, no matter how useful these functions may be. Computer naive users simply do not take the time to learn intimidating and complex computer interfaces. In order to place the functionality of modem computers at the disposition of diverse user populations, a number of different approaches have been tried, many meeting with a significant measure of success, to wit: special courses to train users in the simpler command languages (such as MS-DOS), designing point-and-click menu/graphics interfaces that require much less user familiarization (illustrated most clearly in the Apple Macintosh), and interacting with the user in his or her language of choice.
Memory Based Parsing
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Author : Sandra Kübler
language : en
Publisher: John Benjamins Publishing
Release Date : 2004-10-31
Memory Based Parsing written by Sandra Kübler and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-31 with Language Arts & Disciplines categories.
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.