Author

Fabio De Ponte

Université de Namur

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Open access 2026

Population-level linguistic conventionality benefits the robustness, learnability, and cognitive efficiency of emergent languages

Human languages are widely understood to be conventional: for a given meaning, a population of language users expect a certain form to be used. Given the lack of unconventional natural languages with which to compare, there is little direct empirical evidence which explains why linguistic conventionality matters. We...

Jamie D Wright, Lara Verheyen, Fabio De Ponte et al. · Journal of Language Evolutio... · 0 citations

#small language model Preprint Aug 2026

Jokes Aside: Measuring the Semantic Distance of Double Meanings

Large language models have significantly enriched the toolkit for computational humor research, particularly in the automated generation of jokes and puns. A key innovation, contextual embedding vectors, offers new opportunities to revisit and refine earlier hypotheses. Notably, Petrovic and Matthews (2013) proposed a...

Fabio De Ponte · 0 citations

#natural language process... Preprint Jul 2026

Evolving language compositionality in a frequency-structured meaning space

The iterated learning model was introduced to investigate language evolution: the way in which the characteristic properties of human languages have been shaped, at least partly, by repeated transmission from one language user to another. The key finding is that language compositionality can arise spontaneously as a co...

Fabio De Ponte, Eloise Gaines-White, Conor J. Houghton et al. · 0 citations