Skip to main content
Have a personal or library account? Click to login
Exploring Individual Differences in Recognizing Idiomatic Expressions in Context Cover

Exploring Individual Differences in Recognizing Idiomatic Expressions in Context

Open Access
|Aug 2021

Figures & Tables

(1)a.The fearless climber, who was on a climb alone in the mountains, was ready to play with fire with any risk if necessary later on.
 b.The young camper, who was already bored without any of his friends, was ready to play with fire from the grill if necessary later on.
Table 1

Linguistic and general cognitive constructs: Factor loadings and variance explained.

CONSTRUCTNEXPL. VARIANCEINCLUDED TESTSLOADING
Linguistic knowledge11258%Peabody Picture Vocabulary Test0.84
Spelling0.75
Dutch Author Recognition Test0.82
Idiom recognition0.54
Prescriptive grammar0.83
Processing speed10753%Auditory simple reaction time0.71
Auditory choice reaction time0.83
Letter comparison0.48
Visual simple reaction time0.74
Visual choice reaction time0.81
Visual working memory10630%Corsi block clicking forward0.82
Corsi block clicking backward0.85
Sentence comprehension and prediction skills10555%Gender cue activation0.91
Verb semantics activation0.91
Word reading skills9940%Klepel0.75
One-minute0.83
Maximal speech rate0.63
Phonological verbal fluency0.72
Figure 1

Correlations between individual differences predictors.

(2)a.In deze boekenwinkel heb ik laatst dat mooie boek gevonden. Ik tikte hem op de kop toen.
  Transl.: In this bookstore, I recently found that nice book. I made a good deal that time.
 b.Die hond heeft laatst mijn schoenen kapotgebeten. Ik tikte hem op de kop toen.
  Transl.: That dog recently bit my shoes to pieces. I tapped him on the head that time.
Table 2

Average reading times and standard deviations (ms) by context for the idiom final word and the spill-over word.

CONTEXTIDIOM FINAL NOUNSPILL-OVER WORD
MEANSDMEANSD
None364.93178.44418.97209.46
Figuratively biasing359.80155.94419.23207.98
Literally biasing356.45155.28414.28189.95
Table 3

Idiom-final noun regression model with logged RTs as dependent variable (the no-context condition as the reference category).

FIXED EFFECTSß (SE)TP
Intercept  2.4830 (0.0567)  43.768<0.001***
Fig. biasing context (FBC)  0.0003 (0.0068)  0.0490.961
Lit. biasing context (LBC)–0.0015 (0.0068)–0.2160.829
Linguistic knowledge–0.0403 (0.025)–1.6100.117
FBC × Ling. knowledge  0.0089 (0.0086)  1.0320.302
LBC × Ling. knowledge  0.0101 (0.0085)  1.1880.235
Visual working memory (WM)–0.0183 (0.0241)–0.7580.454
FBC × Visual WM  0.0045 (0.0083)  0.5400.589
LBC × Visual WM  0.0181 (0.0082)  2.1950.028*
Processing speed  0.0201 (0.0232)  0.8650.393
FBC × Processing speed–0.0048 (0.0078)–0.6220.534
LBC × Processing speed–0.0155 (0.0078)–1.9970.046*
Non-verbal IQ  0.0516 (0.0293)  1.7630.087.
FBC × Non-verbal IQ–0.0056 (0.0101)–0.5540.580
LBC × Non-verbal IQ–0.0078 (0.0101)–0.7790.436
Word reading–0.0623 (0.0221)–2.8210.008**
FBC × Word reading  0.0001 (0.0076)  0.0090.993
LBC × Word reading  0.0115 (0.0075)  1.5270.127
Sentence compr. & pred. (SPC)–0.0076 (0.0244)–0.3120.757
FBC × SPC–0.0014 (0.0082)–0.1690.866
LBC × SPC–0.0020 (0.0082)–0.2390.811
Idiom transparency–0.010019 (0.01)–1.1960.245
Idiom final noun frequency  0.0023 (0.0115)  0.2040.840
Idiom final noun length  0.0065 (0.0089)  0.7330.472
RANDOM EFFECTSVARIANCESD
Participant  0.01640.128
Item  0.00190.043
Residual  0.00780.088
Figure 2

The interaction between Context and Visual working memory for the idiom-final word. The error bands represent the 95% confidence interval.

Figure 3

The interaction between Context and Visual working memory for the idiom-final word. The error bands represent the 95% confidence interval.

Table 4

Spill-over word regression model with logged RTs as the dependent variable (with the no-context condition as the reference category).

FIXED EFFECTSß (SE)TP
Intercept  2.5070 (0.1409)  17.794<0.001***
Fig. biasing context (FBC)  0.0035 (0.0086)  0.4030.687
Lit. biasing context (LBC)  0.0031 (0.0086)  0.3600.719
Linguistic knowledge–0.0400 (0.0244)–1.6380.111
FBC × Ling. knowledge  0.0002 (0.0107)  0.0230.982
LBC × Ling. knowledge  0.0097 (0.0107)  0.9080.364
Visual working memory (WM)–0.0321 (0.0235)–1.3640.182
FBC × Visual WM  0.0002 (0.0104)  0.0160.987
LBC × Visual WM  0.0124 (0.0103)  1.2030.229
Processing speed  0.0248 (0.0226)  1.0980.280
FBC × Processing speed–0.0013 (0.0097)–0.1380.890
LBC × Processing speed–0.0101 (0.0097)–1.0440.297
Non-verbal IQ  0.0525 (0.0285)  1.8400.075.
FBC × Non-verbal IQ  0.0015 (0.0126)  0.1170.907
LBC × Non-verbal IQ  0.0035 (0.0126)  0.2740.784
Word reading–0.0591 (0.0215)–2.7460.010**
FBC × Word reading–0.0027 (0.0095)–0.2810.779
LBC × Word reading–0.0048 (0.0095)–0.5010.617
Sentence compr. & pred. (SPC)–0.0179 (0.0238)–0.7540.456
FBC × SPC–0.0040 (0.0103)–0.3900.697
LBC × SPC  0.0003 (0.0103)  0.0250.980
Idiom transparency–0.0166 (0.0110)–1.5080.147
Spill-over word frequency  0.0019 (0.0246)  0.0770.939
Spill-over word length  0.0105 (0.0071)  1.4920.151
RANDOM EFFECTSVARIANCESD
Participant  0.01540.124
Item  0.00250.050
Residual  0.01210.110
DOI: https://doi.org/10.5334/joc.183 | Journal eISSN: 2514-4820
Language: English
Submitted on: Mar 10, 2021
Accepted on: Jul 22, 2021
Published on: Aug 12, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Mesian Tilmatine, Ferdy Hubers, Florian Hintz, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.