Quantifying cognitive factors in lexical decline

David Francis, Ella Rabinovich, Farhan Samir, David Mortensen, Suzanne Stevenson

Research output: Contribution to journalArticlepeer-review

Abstract

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 psycholin-guistic 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’.

Original languageEnglish
Pages (from-to)1529-1545
Number of pages17
JournalTransactions of the Association for Computational Linguistics
Volume9
DOIs
StatePublished - 30 Dec 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Association for Computational Linguistics. Distributed under a CC-BY 4.0 license.

ASJC Scopus subject areas

  • Communication
  • Human-Computer Interaction
  • Linguistics and Language
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Quantifying cognitive factors in lexical decline'. Together they form a unique fingerprint.

Cite this