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Parsing schemata for practical text analysis / Carlos Gómez-Rodriguez.

By: Material type: TextTextSeries: Mathematics, computing, language, and life ; v. 1.Publication details: London : Imperial College Press, ©2010.Description: 1 online resource (xiv, 275 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781848165618
  • 1848165617
Subject(s): Additional physical formats: Print version:: Parsing schemata for practical text analysis.DDC classification:
  • 005.45 22
LOC classification:
  • QA76.9.A43 G66 2010eb
Online resources:
Contents:
1. Introduction. 1.1. Motivation. 1.2. Background. 1.3. Outline of the book -- 2. Preliminaries. 2.1. Context-free grammars. 2.2. Parsing algorithms and schemata. 2.3. The formalism of parsing schemata. 2.4. Advantages of parsing schemata -- 3. A compiler for parsing schemata. 3.1. Motivation and goals. 3.2. System architecture. 3.3. Generated code. 3.4. Reading schemata. 3.5. The code generation process. 3.6. Indexing. 3.7. Discussion -- 4. Practical complexity of constituency parsers. 4.1. Parsing natural language with CFGs. 4.2. Parsing with TAGs. 4.3. Parsing schemata for TAG. 4.4. Parsing schemata for the XTAG English grammar. 4.5. Comparing several parsers for the XTAG grammar. 4.6. Parsing with artificially-generated TAGs. 4.7. Overhead of TAG parsing over CFG parsing. 4.8. Discussion -- 5. Error-repair parsing schemata. 5.1. Motivation. 5.2. Error repair in parsing schemata. 5.3. Lyon's error-repair parser. 5.4. Obtaining minimal distance parses. 5.5. Global and regional error repair. 5.6. Discussion -- 6. Transforming standard parsers into error-repair parsers. 6.1. From standard parsers to error-repair parsers. 6.2. Formal description of the error-repair transformation. 6.3. Proof of correctness of the error-repair transformation. 6.4. Optimising the results of the transformation. 6.5. Discussion -- 7. Dependency parsing schemata. 7.1. Motivation. 7.2. The formalism of dependency parsing schemata. 7.3. Parsing schemata for projective dependency parsers. 7.4. Relations between dependency parsers. 7.5. Proving the correctness of dependency parsers. 7.6. Parsing schemata for non-projective dependency parsers. 7.7. Parsing schemata for Link Grammar parsers. 7.8. Discussion -- 8. Mildly non-projective dependency parsing. 8.1. Motivation. 8.2. Preliminaries. 8.3. The WG[symbol] parser. 8.4. The WG[symbol] parser. 8.5. Parsing ill-nested structures. 8.6. Discussion -- 9. Conclusions. 9.1. Future work.
Summary: The book presents a wide range of recent research results about parsing schemata, introducing formal frameworks and theoretical results while keeping a constant focus on applicability to practical parsing problems. The first part includes a general introduction to the parsing schemata formalism that contains the basic notions needed to understand the rest of the parts. Thus, this compendium can be used as an introduction to natural language parsing, allowing postgraduate students not only to get a solid grasp of the fundamental concepts underlying parsing algorithms, but also an understanding of the latest developments and challenges in the field. Researchers in computational linguistics will find novel results where parsing schemata are applied to current problems that are being actively researched in the computational linguistics community (like dependency parsing, robust parsing, or the treatment of non-projective linguistics phenomena). This book not only explains these results in a more detailed, comprehensive and self-contained way, and highlights the relations between them, but also includes new contributions that have not been presented.
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Includes bibliographical references and index.

1. Introduction. 1.1. Motivation. 1.2. Background. 1.3. Outline of the book -- 2. Preliminaries. 2.1. Context-free grammars. 2.2. Parsing algorithms and schemata. 2.3. The formalism of parsing schemata. 2.4. Advantages of parsing schemata -- 3. A compiler for parsing schemata. 3.1. Motivation and goals. 3.2. System architecture. 3.3. Generated code. 3.4. Reading schemata. 3.5. The code generation process. 3.6. Indexing. 3.7. Discussion -- 4. Practical complexity of constituency parsers. 4.1. Parsing natural language with CFGs. 4.2. Parsing with TAGs. 4.3. Parsing schemata for TAG. 4.4. Parsing schemata for the XTAG English grammar. 4.5. Comparing several parsers for the XTAG grammar. 4.6. Parsing with artificially-generated TAGs. 4.7. Overhead of TAG parsing over CFG parsing. 4.8. Discussion -- 5. Error-repair parsing schemata. 5.1. Motivation. 5.2. Error repair in parsing schemata. 5.3. Lyon's error-repair parser. 5.4. Obtaining minimal distance parses. 5.5. Global and regional error repair. 5.6. Discussion -- 6. Transforming standard parsers into error-repair parsers. 6.1. From standard parsers to error-repair parsers. 6.2. Formal description of the error-repair transformation. 6.3. Proof of correctness of the error-repair transformation. 6.4. Optimising the results of the transformation. 6.5. Discussion -- 7. Dependency parsing schemata. 7.1. Motivation. 7.2. The formalism of dependency parsing schemata. 7.3. Parsing schemata for projective dependency parsers. 7.4. Relations between dependency parsers. 7.5. Proving the correctness of dependency parsers. 7.6. Parsing schemata for non-projective dependency parsers. 7.7. Parsing schemata for Link Grammar parsers. 7.8. Discussion -- 8. Mildly non-projective dependency parsing. 8.1. Motivation. 8.2. Preliminaries. 8.3. The WG[symbol] parser. 8.4. The WG[symbol] parser. 8.5. Parsing ill-nested structures. 8.6. Discussion -- 9. Conclusions. 9.1. Future work.

The book presents a wide range of recent research results about parsing schemata, introducing formal frameworks and theoretical results while keeping a constant focus on applicability to practical parsing problems. The first part includes a general introduction to the parsing schemata formalism that contains the basic notions needed to understand the rest of the parts. Thus, this compendium can be used as an introduction to natural language parsing, allowing postgraduate students not only to get a solid grasp of the fundamental concepts underlying parsing algorithms, but also an understanding of the latest developments and challenges in the field. Researchers in computational linguistics will find novel results where parsing schemata are applied to current problems that are being actively researched in the computational linguistics community (like dependency parsing, robust parsing, or the treatment of non-projective linguistics phenomena). This book not only explains these results in a more detailed, comprehensive and self-contained way, and highlights the relations between them, but also includes new contributions that have not been presented.

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