Quantifying Cognitive Factors in Lexical Decline
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Abstract (arXiv)
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'.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 5 of its 56 references that are in the map. First posted on arXiv 12 Oct 2021.
Builds on
5 of 56 references.
References · 5
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
- 2016Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changecited by 221
- 2020Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoodscited by 17
- 2018Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and declinecited by 15
- 2019The Natural Selection of Words: Finding the Features of Fitnesscited by 4
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Citing papers per year: 2022: 3; 2023: 1; 2024: 2; 2025: 1; 2026: 1.
8 papers.
- 2023PWESuite: Phonetic Word Embeddings and Tasks They Facilitatecited by 6
- 2024Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMscited by 5
- 2024Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Studycited by 4
- 2022Mathematically Modeling the Lexicon Entropy of Emergent Languagecited by 2
- 2022Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Processcited by 1
- 2022Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platformscited by 1
- 2025On the Interplay between Musical Preferences and Personality through the Lens of Languagecited by 1
- 2026From sunblock to softblock: Analyzing the correlates of neology in published writing and on social mediacited by 0
- 2026From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media13 Feb 2026
- 2025On the Interplay between Musical Preferences and Personality through the Lens of Language25 Aug 2025
- 2024Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs26 Mar 2024
- 2024Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study2 Feb 2024
- 2023PWESuite: Phonetic Word Embeddings and Tasks They Facilitate5 Apr 2023
- 2022Mathematically Modeling the Lexicon Entropy of Emergent Language28 Nov 2022
- 2022Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms21 Oct 2022
- 2022Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Process22 Jun 2022