Generalized Lr Parsing
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Generalized Lr Parsing
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Author : Masaru Tomita
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-08-31
Generalized Lr Parsing 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 1991-08-31 with Computers categories.
The Generalized LR parsing algorithm (some call it "Tomita's algorithm") was originally developed in 1985 as a part of my Ph.D thesis at Carnegie Mellon University. When I was a graduate student at CMU, I tried to build a couple of natural language systems based on existing parsing methods. Their parsing speed, however, always bothered me. I sometimes wondered whether it was ever possible to build a natural language parser that could parse reasonably long sentences in a reasonable time without help from large mainframe machines. At the same time, I was always amazed by the speed of programming language compilers, because they can parse very long sentences (i.e., programs) very quickly even on workstations. There are two reasons. First, programming languages are considerably simpler than natural languages. And secondly, they have very efficient parsing methods, most notably LR. The LR parsing algorithm first precompiles a grammar into an LR parsing table, and at the actual parsing time, it performs shift-reduce parsing guided deterministically by the parsing table. So, the key to the LR efficiency is the grammar precompilation; something that had never been tried for natural languages in 1985. Of course, there was a good reason why LR had never been applied for natural languages; it was simply impossible. If your context-free grammar is sufficiently more complex than programming languages, its LR parsing table will have multiple actions, and deterministic parsing will be no longer possible.
Generalized Lr Parsing
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Author : Masaru Tomita
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Generalized Lr Parsing 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 2012-12-06 with Computers categories.
The Generalized LR parsing algorithm (some call it "Tomita's algorithm") was originally developed in 1985 as a part of my Ph.D thesis at Carnegie Mellon University. When I was a graduate student at CMU, I tried to build a couple of natural language systems based on existing parsing methods. Their parsing speed, however, always bothered me. I sometimes wondered whether it was ever possible to build a natural language parser that could parse reasonably long sentences in a reasonable time without help from large mainframe machines. At the same time, I was always amazed by the speed of programming language compilers, because they can parse very long sentences (i.e., programs) very quickly even on workstations. There are two reasons. First, programming languages are considerably simpler than natural languages. And secondly, they have very efficient parsing methods, most notably LR. The LR parsing algorithm first precompiles a grammar into an LR parsing table, and at the actual parsing time, it performs shift-reduce parsing guided deterministically by the parsing table. So, the key to the LR efficiency is the grammar precompilation; something that had never been tried for natural languages in 1985. Of course, there was a good reason why LR had never been applied for natural languages; it was simply impossible. If your context-free grammar is sufficiently more complex than programming languages, its LR parsing table will have multiple actions, and deterministic parsing will be no longer possible.
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.
Parsing, also referred to as syntax analysis, has been and continues to be an essential part of computer science and linguistics. Today, parsing techniques are also implemented in a number of other disciplines, including but not limited to, document preparation and conversion, typesetting chemical formulae, and chromosome recognition. This second edition presents new developments and discoveries that have been made in the field. Parsing techniques have grown considerably in importance, both in computational linguistics where such parsers are the only option, and computer science, where advanced compilers often use general CF parsers. Parsing techniques provide a solid basis for compiler construction and contribute to all existing software: enabling Web browsers to analyze HTML pages and PostScript printers to analyze PostScript. Some of the more advanced techniques are used in code generation in compilers and in data compression. In linguistics, the importance of formal grammars was recognized early on, but only recently have the corresponding parsing techniques been applied. Also their importance as general pattern recognizers is slowly being acknowledged. This text Parsing Techniques explores new developments, such as generalized deterministic parsing, linear-time substring parsing, parallel parsing, parsing as intersection, non-canonical methods, and non-Chomsky systems. To provide readers with low-threshold access to the full field of parsing techniques, this new edition uses a two-tiered structure. The basic ideas behind the dozen or so existing parsing techniques are explained in an intuitive and narrative style, and problems are presented at the conclusion of each chapter, allowing the reader to step outside the bounds of the covered material and explore parsing techniques at various levels. The reader is also provided with an extensive annotated bibliography as well as hints and partial solutions to a number of problems. In the bibliography, hundreds of realizations and improvements of parsing techniques are explained in a much terser, yet still informal, style, improving its readability and usability. The reader should have an understanding of algorithmic thinking, especially recursion; however, knowledge of any particular programming language is not required.
Generalized Lr Parsing For General Context Free Grammars
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Author : J. Rekers
language : en
Publisher:
Release Date : 1991
Generalized Lr Parsing For General Context Free Grammars written by J. Rekers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Natural language processing (Computer science) categories.
Abstract: "Which methods for parser generation and parsing are best suited for an interactive development system of syntax definitions? In this chapter we argue that a Generalized LR parsing algorithm is the best choice. We present an enhanced version of Tomita's GLR algorithm, and compare its efficiency with two competitors, YACC and Earley's algorithm."
Drit Parser A Generalized Lr Parsing Algorithm Using Dot Reverse System
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Author : Hozumi Tanaka
language : en
Publisher:
Release Date : 1992
Drit Parser A Generalized Lr Parsing Algorithm Using Dot Reverse System written by Hozumi Tanaka and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Parsing Schemata
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Author : Klaas Sikkel
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parsing Schemata written by Klaas Sikkel 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.
Parsing, the syntactic analysis of language, has been studied extensively in computer science and computational linguistics. Computer programs and natural languages share an underlying theory of formal languages and require efficient parsing algorithms. This introduction reviews the theory of parsing from a novel perspective. It provides a formalism to capture the essential traits of a parser that abstracts from the fine detail and allows a uniform description and comparison of a variety of parsers, including Earley, Tomita, LR, Left-Corner, and Head-Corner parsers. The emphasis is on context-free phrase structure grammar and how these parsers can be extended to unification formalisms. The book combines mathematical rigor with high readability and is suitable as a graduate course text.
Drit Parser A Generalized Lr Parsing Algorithm Using Dot Reverse Item
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Author : Shin Sedai Konpyūta Gijutsu Kaihatsu Kikō (Japan)
language : en
Publisher:
Release Date : 1992
Drit Parser A Generalized Lr Parsing Algorithm Using Dot Reverse Item written by Shin Sedai Konpyūta Gijutsu Kaihatsu Kikō (Japan) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Automatic Speech Translation
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Author : Akira Kurematsu
language : en
Publisher: CRC Press
Release Date : 2023-03-31
Automatic Speech Translation written by Akira Kurematsu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Technology & Engineering categories.
Automatic Speech Translation introduces recent results of Japanese research and development in speech translation and speech recognition. Topics covered include: fundamental concepts of speech recognition; speech pattern representation; phoneme-based HMM phoneme recognition; continuous speech recognition; speaker adaptation; speaker-independent speech recognition; utterance analysis, utterance transfer, utterance generation; contextual processing; speech synthesis and an experimental system of speech translation. This book presents the complicated technological aspects of machine translation and speech recognition, and outlines the future directions of this rapidly developing area of technology.
Text Speech And Dialogue
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Author : Vaclav Matousek
language : en
Publisher: Springer
Release Date : 2003-07-31
Text Speech And Dialogue written by Vaclav Matousek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Technology & Engineering categories.
This book constitutes the refereed proceedings of the Second International Workshop on Text, Speech and Dialogue, TSD'99, held in Plzen, Czech Republic in September 1999. The 57 revised full papers and 19 posters presented were carefully reviewed and selected for inclusion in the book. The book presents state-of-the-art research and technology in the field of natural language processing with emphasis on text, speech, and spoken dialogue.
Logic Programming 89
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Author : Koichi Furukawa
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-04-24
Logic Programming 89 written by Koichi Furukawa 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 1991-04-24 with Computers categories.
This volume contains selected papers presented at the Eighth Logic Programming Conference, held in Tokyo, 1989. Various topics in logic programming are covered. The first paper is an invited talk by Prof. Donald Michie, Chief Scientist of the Turing Institute, entitled "Human and Machine Learning of Descriptive Concepts", and introduces various research results on learning obtained by his group. There are eleven further papers, organized into sections on reasoning, logic programming language, concurrent programming, knowledge programming, natural language processing, and applications. A paper on knowledge programming introduces a flexible and powerful tool for incorporating and organizing knowledge using hypermedia. Another paper presents the constraint logic programming language cu-Prolog, designed for combinatorial problems; the way cu-Prolog solves the constraints is based on program transformation.