Programming for Corpus Linguistics : : How to Do Text Analysis with Java / / Oliver Mason.

• Superior document: Title is part of eBook package: De Gruyter Edinburgh University Press Backlist eBook-Package 2013-2000
• VerfasserIn: Mason, Oliver,
• Place / Publishing House: Edinburgh : : Edinburgh University Press, , [2022]; ©2000
• Year of Publication: 2022
• Language: English
• Series: Edinburgh Textbooks in Empirical Linguistics : ETELI
• Physical Description: 1 online resource (256 p.)
• Other title: Frontmatter --; Contents --; Part I. Programming and Corpus Linguistics --; 1. Introduction --; 2. Introduction to Basic Programming Concepts --; 3. Basic Corpus Concepts --; 4. Basic Java Programming --; 5. The Java Class Library --; 6. Input/Output --; 7. Processing Plain Text --; 8. Dealing with Annotations --; Part II. Language Processing Examples --; 9. Stemming --; 10. Part of Speech Tagging --; 11. Collocation Analysis --; Part III. Appendices --; 12. Appendix --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781474470780; 9783110780468
• DOI: 10.1515/9781474470780
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Oliver Mason.

The ability to program a computer has become increasingly important in work that involves corpora. Specialised research needs can no longer be met by available software, and purchasing customised programs is usually not an option. This book enables the researcher to write programs for text and corpus processing. Useful techniques are illustrated with the popular programming language Java, which is very well suited for handling textual data, and at the same time easy to learn.Key Featuresa general introduction to programming for readers with a linguistic backgrounda practical introduction to corpus linguistics for readers with a programming background who are new to corpus processinga guide to relevant aspects of Java which will be useful for text processinga variety of sample programs which are in themselves useful tools for corpus research.