On the universal structure of human lexical semantics
Hyejin Youn, Logan Sutton, Eric Smith, Cristopher Moore, Jon F., Wilkins, Ian Maddieson, William Croft, Tanmoy Bhattacharya

TL;DR
This study uses cross-linguistic dictionaries to empirically measure semantic proximity between concepts, revealing universal features of human cognition through the structure of polysemy networks across diverse languages.
Contribution
It introduces a novel empirical approach to quantify semantic proximity via polysemy patterns, demonstrating universal features of human conceptual structure across languages.
Findings
Polysemy frequency varies across concepts, forming a fragmented network.
Structural properties of the semantic network are consistent across diverse languages.
Universal features of cognition influence the organization of basic vocabulary.
Abstract
How universal is human conceptual structure? The way concepts are organized in the human brain may reflect distinct features of cultural, historical, and environmental background in addition to properties universal to human cognition. Semantics, or meaning expressed through language, provides direct access to the underlying conceptual structure, but meaning is notoriously difficult to measure, let alone parameterize. Here we provide an empirical measure of semantic proximity between concepts using cross-linguistic dictionaries. Across languages carefully selected from a phylogenetically and geographically stratified sample of genera, translations of words reveal cases where a particular language uses a single polysemous word to express concepts represented by distinct words in another. We use the frequency of polysemies linking two concepts as a measure of their semantic proximity, and…
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