Ireland

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&#39;.

ACL 2022

Quantifying Cognitive Factors in Lexical Decline

evolutionary linguistics

cognitive factors

decline

linguistic theories

language change

lexicon

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IJCNLP-AACL 2021

The great event is jointly organized by the Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP).

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'.

findings / work in progress

# Welcome everyone to ACL 2022!

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The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

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Quantifying Cognitive Factors in Lexical Decline

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Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning

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