1. Age of Exposure 2.0: Estimating word complexity using iterative models of word embeddings
- Author
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Robert-Mihai Botarleanu, Mihai Dascalu, Micah Watanabe, Scott Andrew Crossley, and Danielle S. McNamara
- Subjects
Arts and Humanities (miscellaneous) ,Developmental and Educational Psychology ,Humans ,Reproducibility of Results ,Experimental and Cognitive Psychology ,Psychology (miscellaneous) ,Child ,General Psychology - Abstract
Age of acquisition (AoA) is a measure of word complexity which refers to the age at which a word is typically learned. AoA measures have shown strong correlations with reading comprehension, lexical decision times, and writing quality. AoA scores based on both adult and child data have limitations that allow for error in measurement, and increase the cost and effort to produce. In this paper, we introduce Age of Exposure (AoE) version 2, a proxy for human exposure to new vocabulary terms that expands AoA word lists through training regressors to predict AoA scores. Word2vec word embeddings are trained on cumulatively increasing corpora of texts, word exposure trajectories are generated by aligning the word2vec vector spaces, and features of words are derived for modeling AoA scores. Our prediction models achieve low errors (from 13% with a corresponding R
- Published
- 2022
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