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Quantifying Cognitive Factors in Lexical Decline
Author(s) -
David M. Francis,
Ella Rabinovich,
Farhan Samir,
David R. Mortensen,
Suzanne Stevenson
Publication year - 2021
Publication title -
transactions of the association for computational linguistics
Language(s) - English
Resource type - Journals
ISSN - 2307-387X
DOI - 10.1162/tacl_a_00441
Subject(s) - lexical diversity , german , variety (cybernetics) , affect (linguistics) , computer science , cognition , set (abstract data type) , logistic regression , linguistics , diversity (politics) , artificial intelligence , natural language processing , psychology , vocabulary , machine learning , sociology , philosophy , neuroscience , programming language , anthropology
We adopt an evolutionary view on language change in which cognitive factors (in addition to social ones) affect the fitness of words and their success in the linguistic ecosystem. Specifically, we propose a variety of psycholinguistic factors—semantic, distributional, and phonological—that we hypothesize are predictive of lexical decline, in which words greatly decrease in frequency over time. Using historical data across three languages (English, French, and German), we find that most of our proposed factors show a significant difference in the expected direction between each curated set of declining words and their matched stable words. Moreover, logistic regression analyses show that semantic and distributional factors are significant in predicting declining words. Further diachronic analysis reveals that declining words tend to decrease in the diversity of their lexical contexts over time, gradually narrowing their ‘ecological niches’.

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