Full Description
This volume seeks to advance and popularise the use of corpus-driven quantitative methods in the study of semantics. The first part presents state-of-the-art research in polysemy and synonymy from a Cognitive Linguistic perspective. The second part presents and explains in a didactic manner each of the statistical techniques used in the first part of the volume. A handbook both for linguists working with statistics in corpus research and for linguists in the fields of polysemy and synonymy.
Contents
1. Contributors; 2. Outline; 3. Section 1. Polysemy and synonymy; 4. Polysemy and synonymy: Corpus method and cognitive theory (by Glynn, Dylan); 5. Competing 'transfer' constructions in Dutch: The case of ont-verbs (by Delorge, Martine); 6. Rethinking constructional polysemy: The case of the English conative construction (by Perek, Florent); 7. Quantifying polysemy in Cognitive Sociolinguistics (by Robinson, Justyna A.); 8. The many uses of run: Corpus methods and Socio-Cognitive Semantics (by Glynn, Dylan); 9. Visualizing distances in a set of near-synonyms: Rather, quite, fairly, and pretty (by Desagulier, Guillaume); 10. A case for the multifactorial assessment of learner language: The uses of may and can in French-English interlanguage (by Deshors, Sandra C.); 11. Dutch causative constructions: Quantification of meaning and meaning of quantification (by Levshina, Natalia); 12. The semasiological structure of Polish myslec 'to think': A study in verb-prefix semantics (by Fabiszak, Malgorzata); 13. A multifactorial corpus analysis of grammatical synonymy: The Estonian adessive and adposition peal 'on' (by Klavan, Jane); 14. A diachronic corpus-based multivariate analysis of "I think that" vs. "I think zero" (by Shank, Christopher); 15. Section 2. Statistical techniques; 16. Techniques and tools: Corpus methods and statistics for semantics (by Glynn, Dylan); 17. Statistics in R: First steps (by Weijer, Joost van de); 18. Frequency tables: Tests, effect sizes, and explorations (by Gries, Stefan Th.); 19. Collostructional analysis: Measuring associations between constructions and lexical elements (by Hilpert, Martin); 20. Cluster analysis: Finding structure in linguistic data (by Divjak, Dagmar); 21. Correspondence analysis: Exploring data and identifying patterns (by Glynn, Dylan); 22. Logistic regression: A confirmatory technique for comparisons in corpus linguistics (by Speelman, Dirk); 23. Name index; 24. Subject index
