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1
Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data ...
43rd Annual Meeting of the Cognitive Science Society 2021
;
Keuleers, Emmanuel
. - : Underline Science Inc., 2021
Abstract:
Two assumptions of psycholinguistic research are that text corpora can be used as a proxy of the language that people have been exposed to and that the reaction time with which people recognize words decreases with the probability (or frequency) of the words in a corpus. We propose a method that produces topic-specific word probabilities from a text corpus using latent Dirichlet allocation, then combines them to fit lexical decision reaction times and re-estimates word probabilities. We evaluated how well independent lexical decision reaction times could be predicted from re-estimated word probabilities compared to original probabilities, using independent lexical decision data. In an experiment designed to prove the concept, the re-estimated word frequency model explained up to 9.6% of additional variability in reaction times on group level and up to 2.9% on level of individual participants. ...
Keyword:
Applied Linguistics
;
Cognitive Linguistics
;
Cognitive Science
;
Computational Intelligence
;
Computational Linguistics
;
Psycholinguistics
URL:
https://dx.doi.org/10.48448/521q-x620
https://underline.io/lecture/26766-word-probability-re-estimation-using-topic-modeling-and-lexical-decision-data
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2
Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data ...
43rd Annual Meeting of the Cognitive Science Society 2021
;
Keuleers, Emmanuel
. - : Underline Science Inc., 2021
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