Using Known Words to Learn More Words: A Distributional Analysis of Child Vocabulary Development
September 15, 2020 ยท Declared Dead ยท ๐ Annual Meeting of the Cognitive Science Society
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Authors
Andrew Z. Flores, Jessica Montag, Jon Willits
arXiv ID
2009.06810
Category
cs.CL: Computation & Language
Cross-listed
stat.OT
Citations
3
Venue
Annual Meeting of the Cognitive Science Society
Last Checked
5 months ago
Abstract
Why do children learn some words before others? Understanding individual variability across children and also variability across words, may be informative of the learning processes that underlie language learning. We investigated item-based variability in vocabulary development using lexical properties of distributional statistics derived from a large corpus of child-directed speech. Unlike previous analyses, we predicted word trajectories cross-sectionally, shedding light on trends in vocabulary development that may not have been evident at a single time point. We also show that whether one looks at a single age group or across ages as a whole, the best distributional predictor of whether a child knows a word is the number of other known words with which that word tends to co-occur. Keywords: age of acquisition; vocabulary development; lexical diversity; child-directed speech;
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