Conceptual similarity and communicative need shape colexification: an experimental study
Not on the map. Why?
Abstract (arXiv)
Colexification refers to the phenomenon of multiple meanings sharing one word in a language. Cross-linguistic lexification patterns have been shown to be largely predictable, as similar concepts are often colexified. We test a recent claim that, beyond this general tendency, communicative needs play an important role in shaping colexification patterns. We approach this question by means of a series of human experiments, using an artificial language communication game paradigm. Our results across four experiments match the previous cross-linguistic findings: all other things being equal, speakers do prefer to colexify similar concepts. However, we also find evidence supporting the communicative need hypothesis: when faced with a frequent need to distinguish similar pairs of meanings, speakers adjust their colexification preferences to maintain communicative efficiency, and avoid colexifying those similar meanings which need to be distinguished in communication. This research provides further evidence to support the argument that languages are shaped by the needs and preferences of their speakers.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 10 of its 89 references that are in the map. First posted on arXiv 19 Mar 2021.
Builds on
10 of 89 references.
References · 10
- 2016Enriching Word Vectors with Subword Informationcited by 1,578
- 2014SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimationcited by 170
- 2019Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Changecited by 32
- 2020Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoodscited by 17
- 2018Unsupervised Multilingual Word Embeddingscited by 16
- 2018Color naming reflects both perceptual structure and communicative needcited by 13
- 2019Semantic categories of artifacts and animals reflect efficient codingcited by 13
- 2016Evolutionary forces in language changecited by 10
- 2018Quantifying the dynamics of topical fluctuations in languagecited by 6
- 2020The Typology of Polysemy: A Multilingual Distributional Frameworkcited by 2
Built on by
Citing papers per year: 2022: 4; 2023: 4; 2024: 3; 2025: 2; 2026: 1.
14 papers.
Sort:
By area:
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 13
- 2022Compression ensembles quantify aesthetic complexity and the evolution of visual artcited by 8
- 2024NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communicationcited by 8
- 2024Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysiscited by 7
- 2023Evolving linguistic divergence on polarizing social mediacited by 6
- 2022Tracing Semantic Variation in Slangcited by 3
- 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistscited by 3
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectivenesscited by 2
- 2022A Computational Model for Machine Thinkingcited by 0
- 2022LEXpander: applying colexification networks to automated lexicon expansioncited by 0
- 2023Patterns of Closeness and Abstractness in Colexifications: The Case of Indigenous Languages in the Americascited by 0
- 2024Patterns of Persistence and Diffusibility across the World's Languagescited by 0
- 2026From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media13 Feb 2026
- 2025Investigating Lexical Change through Cross-Linguistic Colexification Patterns15 Oct 2025
- 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists21 Jan 2025
- 2024Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis17 Oct 2024
- 2024NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication19 Jul 2024
- 2024Patterns of Persistence and Diffusibility across the World's Languages3 Jan 2024
- 2023Patterns of Closeness and Abstractness in Colexifications: The Case of Indigenous Languages in the Americas18 Dec 2023
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023
- 2023Evolving linguistic divergence on polarizing social media4 Sep 2023
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness5 Jun 2023
- 2022Tracing Semantic Variation in Slang16 Oct 2022
- 2022LEXpander: applying colexification networks to automated lexicon expansion31 May 2022
2 more
- 2022A Computational Model for Machine Thinkingcited by 0
- 2022A Computational Model for Machine Thinking20 Jan 2022
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 13
- 2022Compression ensembles quantify aesthetic complexity and the evolution of visual artcited by 8
- 2024NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communicationcited by 8
- 2024Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysiscited by 7
- 2023Evolving linguistic divergence on polarizing social mediacited by 6
- 2022Tracing Semantic Variation in Slangcited by 3
- 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistscited by 3
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectivenesscited by 2
- 2022LEXpander: applying colexification networks to automated lexicon expansioncited by 0
- 2023Patterns of Closeness and Abstractness in Colexifications: The Case of Indigenous Languages in the Americascited by 0
- 2024Patterns of Persistence and Diffusibility across the World's Languagescited by 0
- 2025Investigating Lexical Change through Cross-Linguistic Colexification Patternscited by 0
12 most cited of 13 All 13 (JSON)
- 2026From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media13 Feb 2026
- 2025Investigating Lexical Change through Cross-Linguistic Colexification Patterns15 Oct 2025
- 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists21 Jan 2025
- 2024Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis17 Oct 2024
- 2024NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication19 Jul 2024
- 2024Patterns of Persistence and Diffusibility across the World's Languages3 Jan 2024
- 2023Patterns of Closeness and Abstractness in Colexifications: The Case of Indigenous Languages in the Americas18 Dec 2023
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023
- 2023Evolving linguistic divergence on polarizing social media4 Sep 2023
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness5 Jun 2023
- 2022Tracing Semantic Variation in Slang16 Oct 2022
- 2022LEXpander: applying colexification networks to automated lexicon expansion31 May 2022
12 newest of 13 All 13 (JSON)