Formalizing natural languages : the NooJ approach / Max Silberztein.

Format:

Book

Author/Creator:

Silberztein, Max, author.

Series:

Cognitive science series.

Cognitive Science Series

Language:

English

Subjects (All):

Formalization (Linguistics).

Natural language processing (Computer science).

Physical Description:

1 online resource (273 p.)

Edition:

1st ed.

Place of Publication:

London, England ; Hoboken, New Jersey : ISTE : Wiley, 2016.

Summary:

This book is at the very heart of linguistics. It provides the theoretical and methodological framework needed to create a successful linguistic project. Potential applications of descriptive linguistics include spell-checkers, intelligent search engines, information extractors and annotators, automatic summary producers, automatic translators, and more. These applications have considerable economic potential, and it is therefore important for linguists to make use of these technologies and to be able to contribute to them. The author provides linguists with tools to help them formalize natural languages and aid in the building of software able to automatically process texts written in natural language (Natural Language Processing, or NLP). Computers are a vital tool for this, as characterizing a phenomenon using mathematical rules leads to its formalization. NooJ - a linguistic development environment software developed by the author - is described and practically applied to examples of NLP.

Contents:

Table of Contents; Dedication; Title; Copyright; Acknowledgments; 1: Introduction: the Project; 1.1. Characterizing a set of infinite size; 1.2. Computers and linguistics; 1.3. Levels of formalization; 1.4. Not applicable; 1.5. NLP applications; 1.6. Linguistic formalisms: NooJ; 1.7. Conclusion and structure of this book; 1.8. Exercises; 1.9. Internet links; PART 1: Linguistic Units; 2: Formalizing the Alphabet; 2.1. Bits and bytes; 2.2. Digitizing information; 2.3. Representing natural numbers; 2.4. Encoding characters; 2.5. Alphabetical order; 2.6. Classification of characters

2.7. Conclusion2.8. Exercises; 2.9. Internet links; 3: Defining Vocabulary; 3.1. Multiple vocabularies and the evolution of vocabulary; 3.2. Derivation; 3.3. Atomic linguistic units (ALUs); 3.4. Multiword units versus analyzable sequences of simple words; 3.5. Conclusion; 3.6. Exercises; 3.7. Internet links; 4: Electronic Dictionaries; 4.1. Could editorial dictionaries be reused?; 4.2. LADL electronic dictionaries; 4.3. Dubois and Dubois-Charlier electronic dictionaries; 4.4. Specifications for the construction of an electronic dictionary; 4.5. Conclusion; 4.6. Exercises; 4.7. Internet links

PART 2: Languages, Grammars and Machines5: Languages, Grammars, and Machines; 5.1. Definitions; 5.2. Generative grammars; 5.3. Chomsky-Schützenberger hierarchy; 5.4. The NooJ approach; 5.5. Conclusion; 5.6. Exercises; 5.7. Internet links; 6: Regular Grammars; 6.1. Regular expressions; 6.2. Finite-state graphs; 6.3. Non-deterministic and deterministic graphs; 6.4. Minimal deterministic graphs; 6.5. Kleene's theorem; 6.6. Regular expressions with outputs and finite-state transducers; 6.7. Extensions of regular grammars; 6.8. Conclusion; 6.9. Exercises; 6.10. Internet links

7: Context-Free Grammars7.1. Recursion; 7.2. Parse trees; 7.3. Conclusion; 7.4. Exercises; 7.5. Internet links; 8: Context-Sensitive Grammars; 8.1. The NooJ approach; 8.2. NooJ contextual constraints; 8.3. NooJ variables; 8.4. Conclusion; 8.5. Exercises; 8.6. Internet links; 9: Unrestricted Grammars; 9.1. Linguistic adequacy; 9.2. Conclusion; 9.3. Exercise; 9.4. Internet links; PART 3: Automatic Linguistic Parsing; 10: Text Annotation Structure; 10.1. Parsing a text; 10.2. Annotations; 10.3. Text annotation structure (TAS); 10.4. Exercise; 10.5. Internet links; 11: Lexical Analysis

11.1. Tokenization11.2. Word forms; 11.3. Morphological analyses; 11.4. Multiword unit recognition; 11.5. Recognizing expressions; 11.6. Conclusion; 11.7. Exercise; 12: Syntactic Analysis; 12.1. Local grammars; 12.2. Structural grammars; 12.3. Conclusion; 12.4. Exercises; 12.5. Internet links; 13: Transformational Analysis; 13.1. Implementing transformations; 13.2. Theoretical problems; 13.3. Transformational analysis with NooJ; 13.4. Question answering; 13.5. Semantic analysis; 13.6. Machine translation; 13.7. Conclusion; 13.8. Exercises; 13.9. Internet links; Conclusion; Bibliography; Index

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Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed January 18, 2016).

ISBN:

9781119264149

1119264146

9781119264132

1119264138

OCLC:

935260106