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xling concreteness
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Frank tablet visualization
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Languages by degree of gender bias
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MRM literature summary
MRM literature summary
replication
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zipf law 200
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KEB commentary SI
Distributional semantics as a source of visual knowledge: Commentary on Kim et al. (2019)
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LZL commentary
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taxonomy vs language
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confirmatory AIID
exploratory AIID
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character names
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hypernym vocab plot
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hypernym stim
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XTMEME analysis
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density cross validation
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dplace missing data
trigrams
new titles
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mtld analyses 2
mtld
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seed regression analysis
Tensor decomposition correlations
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Montag gender analysis
WWL analysis
childes_exploration
IAT race
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comparing language IATs
Tensor decomposition
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iat means
explicit
country level
Explicit questions and language measures
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concreteness
KE3
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xling correlations of pairwise distances (low), parameterized
L2ETS Study 2 Scores
L2ETS Study 1 Scores
L2ETS Study 1 HD linguistic distance correlation
L2ETS Study 1 HD Semantics
L2ETS Study 2 HD Semantics
L2ETS Study 2 HD linguistic distance correlation
L2ETS Study 2 2D Semantics
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xling correlations of pairwise distances (low)
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zipf
l2ets study 1 meta-data exploration
ME experimental + vocab
L2ETS Study 1 analyses
xlangsemvar
conceptviz1
MA ME vocab
ME Vocab
R1 tdcs analyses
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bread predictions
bread ratios
tree ratios
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8_pairwise_country_similarities
XTMEM MA
2a_drawing
2_drawing_summaries
Group 1
MA networks
network node analyses
naming embeddings
networks_bib1.6
Metalab networks
L2 errors
All movers distances
downsampled movers
Movers distance
drawing analyses
Misc L2 SEMSOC followup
google cues concreteness variability
metalab networks
TED 2 stimulus selection
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cat bias MA
FINAL tdcs analyses
tDCS num incorrect guesses
TED2
SWOW and wordnet
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simlex analyses
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Final pilot embeddings
nexkids pilot embeddings
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TED Norming 1
Next Embeddings
valence and concreteness t
x1 negativity controls
NextKids Stimuli
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xtmem ma
Quantitative Synthesis SI
Supplemental Information for "Quantitative Synthesis of Early Language Acquisition Using Meta-Analysis"
XTMEM4
xling differences differences
more tdcs
x2 all
t score all
t score filtered absolute
t score filtered
x2 filtered
modularity analyses of semantic associations
xtmem2
accuracy and order
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tdcs template analysis
tdcs semantic associate analyses
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XTMEM1 power analysis
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modularity of SWOW networks
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figs 3 and 4
Synthesis SI
model fits
synthesis model fits
Steps
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xling concept var
Morphological Complexity Measure
SEMSOC - sphericity analyses
Swadash, Sample #2 (RC44)
SEMSOC - Summary stats
SEMSOC Semantics
SEMSOC
swadesh analyses
cdi_complexity
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Metalab Reproducibility Analyses
Surprisal analyses
language learning variability
language learning variability
RCI07
likeSpeak7
L2C meta-analysis
likeSpeak6
Dependency length and complexity bias
Complexity and AOA
xtsamp
Complexity and word birth entropy
Pop Analysis - social variables only
Complexity bias and social variables
xtSamp Analyses
Analyses for replication of Xu and Tenenbaum 2007b.
xtsamp - unstrict
Sorterator 3 Analyses
The length of words reflects their conceptual complexity
Supplemental Information
likeSpeak4_analysis_ML
likeSpeak3_analysis_ML
likeSpeak1_analysis
xt Samp analysis
sorterator_2_analysis
Xu and Tenenbaum 2007b replication
analysis
Xu and Tenenbaum 2007b replication
Xu and Tenenbaum 2007b replication
RCI_02_analysis_paper
DisambiguationMetaAnalysisSRCD
Disambiguation Meta-Analysis SRCD
Disambiguation_Meta-analysis_SRCD
RCI_04_analysisS
RCI_02_analysisS
RCI_03_analysisS_H
RCI_03 Hard (20 words)
RCI_03_analysisS_E
RCI_3 Easy (5 words)
RCI_02_analysis
refComplex_paper_analyses_SI_science
Supplemental Materials
RCI_02_analysis
Visual complexity Analysis for RC
The length of words reflects their conceptual complexity
Supplementary Information
Referential Complexity Analyses
Referential Complexity Analyses
Sorterator AEM - Data Analysis
Referential Complexity Analyses
Object Detection Analysis of RefComplex Images