Corpus Methods for Semantics

Name: Corpus Methods for Semantics | Quantitative studies in polysemy and synonymy
Brand: John Benjamins Publishing Company
Price: 130.99 EUR
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Quantitative studies in polysemy and synonymy

Dylan Glynn Justyna A. Robinson(Editor)

John Benjamins Publishing Company

1st Edition

Published on 6. November 2014

VIII, 545 pages

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978-90-272-7033-7 (ISBN)

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Corpus Methods for Semantics
Editorial page
Title page
LCC data
Table of contents
Contributors
Outline
1. Aim of the volume
2. Structure and summary
References
Section 1. Polysemy and synonymy
Polysemy and synonymy: Cognitive theory and corpus method
1. Introduction: Theory and method
2. Polysemy and synonymy: Definition, object and operationalisation
3. Complexity and sampling: The need for quantification
4. Modelling meaning. Multidimensional patterns and prototype effects
References
Competing 'transfer' constructions in Dutch: The case of ont-verbs
1. Introduction
2. Introducing the Dutch ont-verbs
3. Methodology of the case study
4. The results of the present-day investigation
5. A diachronic perspective
6. Conclusion
References
Appendix
Rethinking constructional polysemy: The case of the English conative construction
1. Introduction
2. The conative construction
3. A collexeme analysis of the conative construction
4. A collexeme analysis of verb-class-specific constructions
5. Conclusion
References
Quantifying polysemy in cognitive sociolinguistics
1. Polysemy
2. Scope of the study
3. Data and method
4. Hierarchical agglomerative clustering
5. Hierarchical agglomerative cluster analysis of collected data
6. Logistic regression
7. Decision tree analysis
8. Summary and discussion of results
References
The many uses of run: Corpus methods and Socio-Cognitive Semantics
1. Introduction
2. Usage-based Cognitive Semantics
3. Case study: run in America and Britain in diaries and conversation
4. Summary
References
Visualizing distances in a set of near-synonyms: Rather, quite, fairly, and pretty
1. Introduction
2. Previous research
3. Method
4. Results
5. Discussion and conclusion
References
A case for the multifactorial assessment of learner language: The uses of may and can in French-English interlanguage
1. Introduction and overview
2. Setting the stage
3. Data and methods
4. Results and discussion
5. Concluding remarks
References
Dutch causative constructions: Quantification of meaning and meaning of quantification
1. Introduction
2. Dutch causative constructions
3. Data and variables
4. Statistical analysis
5. Linguistic interpretation of the statistical models
6. Conclusion
References
The semasiological structure of Polish myslec 'to think': A study in verb-prefix semantics
1. Introduction
2. Introspective conceptual analysis of the prefixed forms of myslec 'to think' in Polish
3. The corpus
4. Feature annotation
5. Multivariate analysis of the results of feature annotation
6. Conclusion
References
A multifactorial corpus analysis of grammatical synonymy: The Estonian adessive and adposition peal
1. Introduction
2. The Estonian adessive case and the adposition peal 'on'
3. The data sample
4. Corpus-linguistic operationalizations and monofactorial results
5. Multifactorial results. Logistic regression analysis
6. Conclusion
References
A diachronic corpus-based multivariate analysis of "I think that" vs. "I think zero"
1. Introduction
2. Review of the literature
3. Data and methods of the current study
4. Discussion of the results
5. Discussion
6. Conclusion
References
Section 2. Statistical techniques
Techniques and tools: Corpus methods and statistics for semantics
1. Introduction
2. Collocations and features: Two approaches to corpora
3. Statistical techniques and tools
References
Statistics in R: First steps
1. Installing R
2. Commands
3. The data file
4. Importing the data into R
5. Making changes to a dataframe in R
6. Converting data formats
7. Making charts
8. Working with scripts
9. Extending functionality with packages
10. Going further
References
Appendix: The tablebind-script
Frequency tables: Tests, effect sizes, and explorations
1. Introduction
2. How to analyze frequency tables
3. Conclusion
References
Collostructional analysis: Measuring associations between constructions and lexical elements
1. Introduction
2. Collexeme analysis
3. Distinctive collexeme analysis
4. Covarying-collexeme analysis
5. Concluding remarks
References
Cluster analysis: Finding structure in linguistic data
1. Introduction
2. Steps in conducting a cluster analysis
3. By way of conclusion
References
Appendix
Correspondence analysis: Exploring data and identifying patterns
1. A technique for visualising correlations in categorical data
2. Performing and interpreting correspondence analysis in R
3. Choice - correspondence or cluster
4. Further reading
References
Logistic regression: A confirmatory technique for comparisons in corpus linguistics
1. Introduction
2. Simple logistic regression analysis
3. Multiple logistic regression analysis
4. Example R code
5. Model diagnostics
6. Variable selection
7. Which conditions should my data set meet?
8. Beyond the limits of traditional binomial logistic regression
9. Further reading
References
Name index
Subject index
Dutch causative constructions: Quantification of meaning and meaning of quantification
1. Introduction
2. Dutch causative constructions
3. Data and variables
4. Statistical analysis
5. Linguistic interpretation of the statistical models
6. Conclusion
References

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