基本説明
This is the first textbook on using the open source programming language and environment R for corpus linguistic analyses.
Full Description
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve - searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.
Contents
Acknowledgments1. Introduction1.1 Why Another Introduction to Corpus Linguistics?1.2 Outline of the Book1.3 Recommendation for Instructors2. Three Central Corpus-linguistic Methods2.1 Corpora2.2 Frequency Lists2.3 Lexical Co-occurrence: Collocations2.4 (Lexico-)Grammatical Co-occurence: Concordances3. An Introduction to R3.1 A few Central Notions: Data structures, Functions, and Arguments3.2 Vectors3.3 Factors3.4 Data Frames3.5 Lists3.6 Elementary Programming Functions3.7 Character/String Processing3.8 File and Directory Operations4. Using R in Corpus Linguistics4.1 Frequency Lists4.2 Concordances4.3 Collocations4.4 Excursus 1: Processing Multi-tiered Corpora4.5 Excursus 2: Unicode5. Some Statistics for Corpus Linguistics5.1 Introduction to Statistical Thinking5.2 Categorical Dependent Variables5.3 Interval/Ratio Dependent Variables5.4 Customizing Statistical Plots5.5 Reporting Results6. Case Studies and Pointers to Other Applications6.1 Introduction to the Case Studies6.2 Some Pointers to Further ApplicationsAppendixReferencesEndnotesIndex
