Quantitative corpus linguistics with R a practical introduction
R is an opensource programming language and environment. This textbook offers an introduction to the use of R for corpus linguistic analyses. It covers such topics as searching and processing corpora, arranging and outputting search results, statistical evaluation, and graphing.
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York ; London :
Routledge
2009.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628900306719 |
Tabla de Contenidos:
- Acknowledgments 1. Introduction 1.1 Why Another Introduction to Corpus Linguistics? 1.2 Outline of the Book 1.3 Recommendation for Instructors 2. Three Central Corpus-linguistic Methods 2.1 Corpora 2.2 Frequency Lists 2.3 Lexical Co-occurrence: Collocations 2.4 (Lexico-)Grammatical Co-occurence: Concordances 3. An Introduction to R 3.1 A few Central Notions: Data structures, Functions, and Arguments 3.2 Vectors 3.3 Factors 3.4 Data Frames 3.5 Lists 3.6 Elementary Programming Functions 3.7 Character/String Processing 3.8 File and Directory Operations 4. Using R in Corpus Linguistics 4.1 Frequency Lists 4.2 Concordances 4.3 Collocations 4.4 Excursus 1: Processing Multi-tiered Corpora 4.5 Excursus 2: Unicode 5. Some Statistics for Corpus Linguistics 5.1 Introduction to Statistical Thinking 5.2 Categorical Dependent Variables 5.3 Interval/Ratio Dependent Variables 5.4 Customizing Statistical Plots 5.5 Reporting Results 6. Case Studies and Pointers to Other Applications 6.1 Introduction to the Case Studies 6.2 Some Pointers to Further Applications Appendix References Endnotes Index
