Corpus Methods for Semantics

Quantitative studies in polysemy and synonymy

Editors

Dylan Glynn | University of Paris VIII

Justyna A. Robinson | University of Sussex

Hardbound – Available

ISBN 9789027223975 | EUR 105.00 | USD 158.00

e-Book –

ISBN 9789027270337 | EUR 105.00 | USD 158.00

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.

[Human Cognitive Processing, 43] 2014. viii, 545 pp.

Publishing status: Available

https://doi.org/10.1075/hcp.43

Table of Contents

Contributors | pp. vii–viii

Outline | pp. 1–4

Section 1. Polysemy and synonymy

Polysemy and synonymy: Corpus method and cognitive theory

Dylan Glynn | pp. 7–38

Competing ‘transfer’ constructions in Dutch: The case of ont-verbs

Martine Delorge, Koen Plevoets and Timothy Colleman | pp. 39–60

Rethinking constructional polysemy: The case of the English conative construction

Florent Perek | pp. 61–85

Quantifying polysemy in Cognitive Sociolinguistics

Justyna A. Robinson | pp. 87–115

The many uses of run: Corpus methods and Socio-Cognitive Semantics

Dylan Glynn | pp. 117–144

Visualizing distances in a set of near-synonyms: Rather, quite, fairly, and pretty

Guillaume Desagulier | pp. 145–178

A case for the multifactorial assessment of learner language: The uses of may and can in French-English interlanguage

Sandra C. Deshors and Stefan Th. Gries | pp. 179–204

Dutch causative constructions: Quantification of meaning and meaning of quantification

Natalia Levshina, Dirk Geeraerts and Dirk Speelman | pp. 205–221

The semasiological structure of Polish myśleć ‘to think’: A study in verb-prefix semantics

Malgorzata Fabiszak, Anna Hebda, Iwona Kokorniak and Karolina Krawczak | pp. 223–251

A multifactorial corpus analysis of grammatical synonymy: The Estonian adessive and adposition peal ‘on’

Jane Klavan | pp. 253–278

A diachronic corpus-based multivariate analysis of “I think that” vs. “I think zero”

Christopher Shank, Koen Plevoets and Hubert Cuyckens | pp. 279–303

Section 2. Statistical techniques

Techniques and tools: Corpus methods and statistics for semantics

Dylan Glynn | pp. 307–341

Statistics in R: First steps

Joost van de Weijer and Dylan Glynn | pp. 343–364

Frequency tables: Tests, effect sizes, and explorations

Stefan Th. Gries | pp. 365–389

Collostructional analysis: Measuring associations between constructions and lexical elements

Martin Hilpert | pp. 391–404

Cluster analysis: Finding structure in linguistic data

Dagmar Divjak and Nick Fieller | pp. 405–441

Correspondence analysis: Exploring data and identifying patterns

Dylan Glynn | pp. 443–485

Logistic regression: A confirmatory technique for comparisons in corpus linguistics

Dirk Speelman | pp. 487–533

Name index | pp. 535–539

Subject index | pp. 541–545

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[no author supplied]

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This list is based on CrossRef data as of 7 september 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

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