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	vii–viii
Outline	1–4
Section 1. Polysemy and synonymy
Polysemy and synonymy: Corpus method and cognitive theory Dylan Glynn	7–38
Competing ‘transfer’ constructions in Dutch: The case of ont-verbs Martine Delorge, Koen Plevoets and Timothy Colleman	39–60
Rethinking constructional polysemy: The case of the English conative construction Florent Perek	61–85
Quantifying polysemy in Cognitive Sociolinguistics Justyna A. Robinson	87–115
The many uses of run : Corpus methods and Socio-Cognitive Semantics Dylan Glynn	117–144
Visualizing distances in a set of near-synonyms: Rather, quite, fairly, and pretty Guillaume Desagulier	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	179–204
Dutch causative constructions: Quantification of meaning and meaning of quantification Natalia Levshina, Dirk Geeraerts and Dirk Speelman	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	223–251
A multifactorial corpus analysis of grammatical synonymy: The Estonian adessive and adposition peal ‘on’ Jane Klavan	253–278
A diachronic corpus-based multivariate analysis of “I think that” vs. “I think zero” Christopher Shank, Koen Plevoets and Hubert Cuyckens	279–303
Section 2. Statistical techniques
Techniques and tools: Corpus methods and statistics for semantics Dylan Glynn	307–341
Statistics in R: First steps Joost van de Weijer and Dylan Glynn	343–364
Frequency tables: Tests, effect sizes, and explorations Stefan Th. Gries	365–389
Collostructional analysis: Measuring associations between constructions and lexical elements Martin Hilpert	391–404
Cluster analysis: Finding structure in linguistic data Dagmar Divjak and Nick Fieller	405–441
Correspondence analysis: Exploring data and identifying patterns Dylan Glynn	443–485
Logistic regression: A confirmatory technique for comparisons in corpus linguistics Dirk Speelman	487–533
Name index	535–539
Subject index	541–545

Cited by

Cited by 18 other publications

Divjak, Dagmar

2019. In Frequency in Language,

Endresen, Anna

2016. Review of Gisborne & Hollmann (2014): Theory and data in Cognitive Linguistics. Functions of Language 23:3 ► pp. 391 ff.

Granvik, Anton & Susanna Taimitarha

2014. Topic-marking prepositions in Swedish: A corpus-based analysis of adpositional synonymy. Nordic Journal of Linguistics 37:2 ► pp. 257 ff.

Kang, Beom-mo

2018. Collocation and word association. International Journal of Corpus Linguistics 23:1 ► pp. 85 ff.

Kochańska, Agata & Iwona Kokorniak

2021. Introduction. Poznan Studies in Contemporary Linguistics 57:1 ► pp. i ff.

Krawczak, Karolina

2018. Reconstructing social emotions across languages and cultures. Review of Cognitive Linguistics 16:2 ► pp. 455 ff.

Krawczak, Karolina

2021. In Give Constructions across Languages [Constructional Approaches to Language, 29], ► pp. 75 ff.

Krawczak, Karolina & Dylan Glynn

2015. Operationalizing mirativity. Review of Cognitive Linguistics 13:2 ► pp. 353 ff.

Mehl, Seth

2017. Christian Kay and Kathryn Allan (eds.). 2015. English Historical Semantics . Journal of Historical Pragmatics 18:1 ► pp. 152 ff.

OMAR, Abdulfattah

2021. Identifying themes in fiction: A centroid-based lexical clustering approach. Dil ve Dilbilimi Çalışmaları Dergisi ► pp. 580 ff.

Oster, Ulrike

2018. Emotions in motion. Review of Cognitive Linguistics 16:1 ► pp. 191 ff.

Põldvere, Nele, Matteo Fuoli & Carita Paradis

2016. A study of dialogic expansion and contraction in spoken discourse using corpus and experimental techniques. Corpora 11:2 ► pp. 191 ff.

San Roque, Lila, Kobin H. Kendrick, Elisabeth Norcliffe & Asifa Majid

2018. Universal meaning extensions of perception verbs are grounded in interaction . Cognitive Linguistics 29:3 ► pp. 371 ff.

Smith, Chris A.

2016. Tracking semantic change in fl- monomorphemes in the Oxford English Dictionary . Journal of Historical Linguistics 6:2 ► pp. 165 ff.

Soares da Silva, Augusto

2020. Exploring the cultural conceptualization of emotions across national language varieties. Review of Cognitive Linguistics 18:1 ► pp. 42 ff.

Soares da Silva, Augusto

2021. In Figurative Language – Intersubjectivity and Usage [Figurative Thought and Language, 11], ► pp. 387 ff.

Séguin, Maja

2020. Corpus based study of verbs explain and clarify as an example of assistance in pedagogical settings. ExELL 8:2 ► pp. 144 ff.

Wu, Shuqiong

2021. A corpus-based study of the Chinese synonymous approximatives shangxia, qianhou and zuoyou . Corpus Linguistics and Linguistic Theory 17:2 ► pp. 411 ff.

This list is based on CrossRef data as of 17 october 2021. 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.

Subjects & Metadata

Linguistics

Cognitive linguistics

Corpus linguistics

Semantics

Syntax

BIC Subject: CFG – Semantics, Pragmatics, Discourse Analysis

BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General

ONIX Metadata

ONIX 2.1

ONIX 3.0

U.S. Library of Congress Control Number: 2014004752 | Marc record