Accessible, yet comprehensive introduction to parsing techniques helps readers to quickly gain a broad understanding of subject
Summarizes more than 700 papers referenced in the book, saving readers countless hours
Many exercises include hints and partial solutions, making it ideal for self-study or classroom use
Extensive bibliography, and annotated bibliography on website, help interested readers to find more information
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. This work summarizes more than 700 papers referenced in the book, saving readers countless hours, as well as including a huge number of exercises along with hints and partial solutions, making the book ideal for self-study or classroom use.
Grammars as a Generating Device.- to Parsing.- General Non-Directional Parsing.- Regular Grammars and Finite-State Automata.- General Directional Top-Down Parsing.- General Directional Bottom-Up Parsing.- Deterministic Top-Down Parsing.- Deterministic Bottom-Up Parsing.- Non-Canonical Parsers.- Generalized Deterministic Parsers.- Substring Parsing.- Parsing as Intersection.- Parallel Parsing.- Non-Chomsky Grammars and Their Parsers.- Error Handling.- Practical Parser Writing and Usage.- Annotated Bibliography.
Parsing, also referred to as syntax analysis, has been and continues to be an essential part of computer science and linguistics. Today, parsing is also applied in other disciplines; some examples are document preparation and conversion, chemical formulae typesetting, and chromosome recognition.
In addition to the traditional parsing techniques, this second edition presents new developments and discoveries: generalized deterministic parsing, linear-time substring parsing, parallel parsing, parsing as intersection, non-canonical methods, non-Chomsky systems, and many more.
Parsing techniques provide a solid basis for compiler construction and linguistics, and contribute to all existing software: they enable Web browsers to analyze HTML pages and Postillegalscript printers to analyze Postillegalscript, and some of the more advanced techniques are used in code generation in compilers and in data compression. Also their importance as general pattern recognizers is slowly being acknowledged.
To provide readers with low-threshold access to the full field of parsing techniques, this book uses a two-tiered structure. The basic ideas behind the existing parsing techniques are explained in an intuitive and narrative style, starting from the first principles of data structures and algorithms; this provides breadth and accessibility. The hundreds of realizations and improvements of these basic ideas are explained in an extensive annotated bibliography, in a much terser, yet still informal style; this provides depth.
The reader should have an understanding of algorithmic thinking, especially recursion; however, knowledge of any particular programming language is not required.
This second edition of Grune and Jacobs' brilliant work presents new developments and discoveries that have been made in the field of parsing, or syntax analysis. Parsing has been and continues to be an essential part of computer science and linguistics.
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 Postillegalscript printers to analyze Postillegalscript. 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.
Inhaltsverzeichnis
Grammars as a Generating Device.- to Parsing.- General Non-Directional Parsing.- Regular Grammars and Finite-State Automata.- General Directional Top-Down Parsing.- General Directional Bottom-Up Parsing.- Deterministic Top-Down Parsing.- Deterministic Bottom-Up Parsing.- Non-Canonical Parsers.- Generalized Deterministic Parsers.- Substring Parsing.- Parsing as Intersection.- Parallel Parsing.- Non-Chomsky Grammars and Their Parsers.- Error Handling.- Practical Parser Writing and Usage.- Annotated Bibliography.
Klappentext
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 Postillegalscript printers to analyze Postillegalscript. 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.
