Quantitative corpus linguistics with R : a practical introduction / Stefan Th. Gries.

Includes bibliographical references (p. 229-235) and index.

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 Grammatical and/or lexico-grammatical co-occurrence: concordances 3. A brief introduction to R 3.1 A few central notions: data structures, functions, and arguments 3.2 Vectors 3.3 Factors 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: processing multi-tiered corpora 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 your results 6. Morphology/morphophonology 1 Example 1: -ic/-ical suffixation 6.2 Example 2: contraction of to be in speaking 7. Syntax 7.1 Example 1: iconicity in clause ordering 7.2 Example prenominal adjective order 7.3 Example 3: the locative alternation 8. Semantics / Lexicography 8.1 Example 1: antonymous adjectives 8.2 Example 2: semantic prosody 8.3 Example 3: significant collocates 9. Pragmatics / text linguistics 9.1 Example 1: dispersion plots 9.2 Example 2: key words 10. Other areas of application 10.1 Example 1: first language acquisition: mean lengths of utterances 10.2 Example 2: second language acquisition: lexical frequency profiles 10.3 Example 3: simple data retrieval: accessing webpages 10.4 Example 4: advanced data retrieval: compiling a web-based corpus 10.5 Further suggestions for application Appendix References Index.