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Datasets:
StephanAkkerman
/
MRC-psycholinguistic-database

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
100K - 1M
Tags:
NLP
phonetics
linguistics
language modelling
word frequency
text analysis
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
Word
stringlengths
1
23
⌀
Number of Letters
int64
1
23
Number of Phonemes
int64
0
19
Number of Syllables
int64
0
9
KF Written Frequency
int64
0
70k
KF Number of Categories
int64
0
15
KF Number of Samples
int64
0
500
Thorndike-Lorge Frequency
int64
0
236k
Brown Verbal Frequency
int64
0
6.83k
Familiarity
int64
0
657
Concreteness
int64
0
670
Imageability
int64
0
667
Meaningfulness: Coloradao Norms
int64
0
617
Meaningfulness: Pavio Norms
int64
0
922
Age of Acquisition Rating
int64
0
697
Word Type
stringclasses
3 values
Comprehensive Syntactic Category
stringclasses
11 values
Common Part of Speech
stringclasses
5 values
Morphemic status
stringclasses
6 values
Contextual Status
stringclasses
14 values
Pronunciation Variability
stringclasses
3 values
Capitalization
stringclasses
2 values
Irregular Plural
stringclasses
6 values
Stress-Marked Phonetic Transcription
stringlengths
1
27
⌀
Syllabified Phonetic Transcription
stringlengths
1
24
⌀
Stress Pattern
float64
0
201M
⌀
&ARRY
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N
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U
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N
N
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R
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P
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O
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&SBLOOD
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O
O
A
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&SBODIKINS
10
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0
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0
N
A
O
null
null
null
&SDEATH
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0
0
0
0
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0
I
O
A
O
zdeT
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&SFOOT
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0
0
0
0
0
0
0
0
0
0
0
0
0
I
A
O
null
null
null
&SHEART
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0
0
0
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0
0
0
0
0
0
0
0
N
A
O
null
null
null
&SHUN
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0
0
0
0
0
0
0
0
0
0
0
0
0
N
A
S
null
null
null
&SLID
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0
0
0
0
0
0
0
0
0
0
0
0
0
I
A
O
null
null
null
&SLIFE
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0
0
0
0
0
0
0
0
0
0
0
0
0
I
A
O
null
null
null
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0
0
0
0
0
0
0
0
0
0
0
0
0
I
A
O
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null
null
&SNAILS
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0
0
0
0
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0
0
0
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0
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I
A
O
null
null
null
&STREWTH
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0
0
0
0
0
0
0
0
0
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0
N
A
S
null
null
null
&T
2
0
0
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0
0
0
0
0
0
0
0
0
0
N
A
S
null
null
null
&TIS
4
3
0
0
0
0
35
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0
0
0
0
0
0
V
V
A
tIz
tIz
0
&TWAS
5
0
0
0
0
0
27
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0
0
0
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A
P
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null
null
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4
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27
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V
V
A
tw0z
tw0z
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4
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0
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0
0
0
0
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0
0
R
O
A
S
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twin
0
&TWEEN-DECKS
12
0
0
0
0
0
0
0
0
0
0
0
0
0
N
H
S
null
null
null
&TWERE
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0
0
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0
1
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0
0
0
0
0
0
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P
null
null
null
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1
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2
V
V
A
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6
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1
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O
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S
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A
S
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3
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U
A
null
@m
null
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R
A
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niT
null
'SHUN
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0
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I
A
null
SVn
null
'TWAS
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0
0
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0
0
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0
0
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0
0
0
0
V
A
null
tw0z
null
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0
0
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0
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0
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A
A
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'TWEEN
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0
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R
A
null
twin
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'TWEEN-DECKS
12
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0
0
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0
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A
A
null
'twin-deks
null
'TWERE
6
0
0
0
0
0
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0
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2
V
A
null
tw32
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'TWILL
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0
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V
A
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twIl
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'TWIXT
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R
A
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twIkst
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'TWOULD
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V
A
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twUd
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'UN
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0
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U
A
null
@n
null
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S
F
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S
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S
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O
S
S
null
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-ACEAE
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O
S
S
null
null
null
-ACEAN
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O
S
S
null
null
null
-ACEOUS
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0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ACIOUS
7
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ACITATE
8
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ACITY
6
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ACY
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-AD
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ADE
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ADELPHIA
9
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
F
null
null
null
-ADO
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-AE
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-AGE
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-AN
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ANCE
5
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ANCY
5
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-AND
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ANDROUS
8
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
$
null
null
null
-ANE
4
0
0
0
0
0
0
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0
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0
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O
S
S
null
null
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-ANT
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0
0
0
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O
S
S
null
null
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-AR
3
0
0
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O
S
S
null
null
null
-ARD
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0
0
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0
0
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0
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0
0
0
O
S
S
null
null
null
-ARIAN
6
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ARIOUS
7
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ARIUM
6
0
0
0
0
0
0
0
0
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0
0
O
S
S
null
null
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-ARY
4
0
0
0
0
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0
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0
0
O
S
S
null
null
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-ASIS
5
0
0
0
0
0
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0
0
0
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0
0
O
S
S
null
null
null
-ASTER
6
0
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0
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0
0
0
0
0
0
O
S
S
null
null
null
-ATE
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0
0
0
0
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0
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0
0
O
S
S
null
null
null
-ATIC
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0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ATILE
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0
0
0
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0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ATION
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0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ATIVE
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0
0
0
0
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0
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0
0
0
O
S
S
null
null
null
-BLAST
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S
null
null
null
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S
S
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O
S
S
null
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0
0
0
0
0
0
O
S
D
null
null
null
-CRACY
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0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
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0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-CULA
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0
0
0
0
0
0
0
0
0
0
0
0
0
V
S
R
null
null
null
-CULE
5
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-CULUS
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0
0
0
0
0
0
0
0
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0
0
0
0
O
S
S
null
null
null
-CY
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-CYTE
5
0
0
0
0
0
0
0
0
0
0
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0
0
O
S
S
null
null
null
-DOM
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-EAN
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ED
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-EE
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-EER
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-EL
3
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
-ELS
4
0
0
0
0
0
0
0
0
0
0
0
0
0
O
S
S
null
null
null
End of preview. Expand in Data Studio

MRC Psycholinguistic Database

This is the complete MRC psycholinguistic database as found on https://websites.psychology.uwa.edu.au/school/mrcdatabase/uwa_mrc.htm.

Usage

This dataset is ideal for training and evaluating machine learning models for English word concreteness.

Acknowledgments

We extend our heartfelt gratitude to all the authors of the original dataset.

License

This dataset is made available under the MIT license.

Downloads last month
129
Size of downloaded dataset files:
10.2 MB
Size of the auto-converted Parquet files:
4.28 MB
Number of rows:
150,000

Models trained or fine-tuned on StephanAkkerman/MRC-psycholinguistic-database