Computer corpus lexicography / Vincent B. Y. Ooi.

Format:

Book

Author/Creator:

Ooi, Vincent, B. Y., author.

Series:

Edinburgh textbooks in empirical linguistics.

Edinburgh textbooks in empirical linguistics

Language:

English

Subjects (All):

Lexicography--Data processing.

Lexicography.

Physical Description:

1 online resource (256 pages).

Place of Publication:

Edinburgh : Edinburgh University Press, 2009.

Summary:

This book introduces the reader to the changing notions of the lexicon and dictionary-making, using a convergence of perspectives from computational linguistics, corpus linguistics, and computational lexicography/lexicology. The main issues include: the relation between lexicon and corpus; corpus-based lexical modelling of language; the computational storage of the lexicon. From this, the book constructs and applies a framework for lexicon-building to a case study. It also stresses the importance of the Internet and World Wide Web for dictionary research and study.

Contents:

Frontmatter

Contents

Acknowledgements

Abbreviations

1 What is Computer Corpus Lexicography (CCL)?

1.0 Introduction

1.1 Developing notions of the lexicon

1.2 Lexical content

1.3 Lexical form

1.4 Conclusion and the organisation of this book

1.5 Study questions

1.6 Further reading

Notes

2 The lexicon in Computational Linguistics (CLl), Computational Lexicography (CL2), and Corpus Linguistics (CL3)

2.0 Introduction

2.1 What is Computational Linguistics ( CL1)?

2.2 What is Computational Lexicography (CL2)?

2.3 What is Corpus Linguistics (CL3)?

2.4 The interdependence and convergence ofCL1, CL2, and CL3

2.5 The TEl for the emergence of textual and lexical standards

2.6 The notion of the reusability oflexical resources

2.7 The core-reusable multifunctional lexicon

2.8 The polytheoreticallexicon

2. 9 Conclusion

2.10 Study questions

2.11 Further reading

3 Corpus evidence and lexicon-based language modelling

3.0 Introduction

3.1 Types oflexicographic and lexical evidence

3.2 The corpus as a lexical resource: the issue of representativeness

3.3 Corpus size and the 'Bank of English'

3.4 The search for units of meaning

3.5 Conclusion

3.6 Study questions

3. 7 Further reading

4 Methods oflexical acquisition: 'Learning' a lexicon for real texts from real text

4.0 Introduction

4.1 The relation between the lexicon and the corpus

4.2 Manual lexical acquisition

4.3 Automatic and semi-automatic lexical acquisition

4.4 The lexicographer/linguist's workbench for lexical acquisition

4.5 A framework for lexical analysis

4.6 Conclusion

4. 7 Study questions

4. 8 Further reading

5 Computational storage of the lexicon

5.0 Introduction

5.1 The question of formalism

5.2 Lexical database vs lexical knowledge base?

5.3 The notion of inheritance

5.4 The DATR lexical knowledge representation language

5.5 The ACQUILEX lexical knowledge base

5.6 The PROLEX Prolog lexical database

5.7 The WORDNET lexical database of English

5.8 The CELEX lexical database

5.9 Using the World Wide Web for lexical research

5.10 Conclusion

5.11 Study questions

5.12 Further reading

6 A case study: Applying the LFA framework to two corpora of business English

6.0 Introduction

6.1 The notions of sublanguage, genre, and register

6.2 The PROLEX corpus

6.3 The PROCOMPARE corpus

6.4 Corpus tagging

6.5 Corpus syntactic parsing

6.6 Corpus word-extraction

6.7 Corpus collocation

6.8 Corpus semantic tagging and parsing

6. 9 Corpus pragmatics

6.10 Structuring lexical entries from the PROLEX and PROCOMPARE corpora

6.11 A discussion of the PRO LEX and PROCOMPARE specimen lexical entries

6.12 Conclusion

6.13 Study questions

6.14 Further reading

7 Conclusion: Towards a more adequate concept of the lexicon

Appendix A: Specimen lexical entries

Appendix B: Some World Wide Web sites for CL 1, CL2, and CL3

Appendix C: Suggested solutions to exercises

Bibliography

Index

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781474471459

1474471455

OCLC:

1238626966