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 16 november 2023. 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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