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Table 4 

Top features using all data, ordered by absolute correlation r with TIB class, with LR p-values.

Feature NamerLR p-value
Number of Pronouns :: Number of Pronouns and Nouns 0.42812 < 0.001 
Mean Noun Imageability −0.33533 0.395 
Mean Noun Familiarity −0.32535 0.0127 
Average WordNet Depth (i.e., word specificity §6) −0.31758 < 0.001 
NP → PRP 0.31205 0.560 
Number of Nouns −0.31170 < 0.001 
Number of Nouns :: Number of Nouns and Verbs −0.30733 0.353 
Mean Imageability −0.30579 0.187 
Mean Age of Acquisition −0.27172 0.00721 
Number of Demonstratives :: Number of Words 0.26869 < 0.001 
WHNP → WP (wh-NP with an NP GAP → wh-pronoun) 0.26614 < 0.001 
Cue words (§6) 0.25988 0.641 
Number of Nouns :: Number of Words − 0.25929 0.0411 
NP → DT NN −0.25321 < 0.001 
Number of Complex T-units :: Number of T-units 0.24475 0.00231 
Number of Dependent Clauses 0.24265 0.00131 
Noun Imageability − 0.24141 0.456 
Semantic Similarity (§6) −0.23932 0.633 
Number of Dependent Clauses :: Number of T-units 0.23818 0.0483 
Number of Complex T-units 0.23598 0.0694 
Feature NamerLR p-value
Number of Pronouns :: Number of Pronouns and Nouns 0.42812 < 0.001 
Mean Noun Imageability −0.33533 0.395 
Mean Noun Familiarity −0.32535 0.0127 
Average WordNet Depth (i.e., word specificity §6) −0.31758 < 0.001 
NP → PRP 0.31205 0.560 
Number of Nouns −0.31170 < 0.001 
Number of Nouns :: Number of Nouns and Verbs −0.30733 0.353 
Mean Imageability −0.30579 0.187 
Mean Age of Acquisition −0.27172 0.00721 
Number of Demonstratives :: Number of Words 0.26869 < 0.001 
WHNP → WP (wh-NP with an NP GAP → wh-pronoun) 0.26614 < 0.001 
Cue words (§6) 0.25988 0.641 
Number of Nouns :: Number of Words − 0.25929 0.0411 
NP → DT NN −0.25321 < 0.001 
Number of Complex T-units :: Number of T-units 0.24475 0.00231 
Number of Dependent Clauses 0.24265 0.00131 
Noun Imageability − 0.24141 0.456 
Semantic Similarity (§6) −0.23932 0.633 
Number of Dependent Clauses :: Number of T-units 0.23818 0.0483 
Number of Complex T-units 0.23598 0.0694 
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