Modelling pronominal gender agreement in Dutch
From a syntactic to a semantic strategy
In the context of cultural evolution, we propose a multi-agent model that allows, through pair-wise interactions between homogeneous individuals of a population, to simulate the shift from a syntactic towards a semantic pronominal agreement system. We explore various gender mapping and learning mechanisms that can allow the agents to form a new agreement system using their semantic knowledge about the world. We investigate whether our strategies can yield cohesive clusterings over the semantic space. We notice that the system reaches full convergence in terms of gender preference at population level and that there are multiple successful ways of dividing the semantic space, including one that reflects the so-called individuation hierarchy, a case attested by a study of a spoken language data.
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Cited by (2)
Cited by two other publications
Van Eecke, Paul, Katrien Beuls, Jérôme Botoko Ekila & Roxana Rădulescu
2022.
Language games meet multi-agent reinforcement learning: A case study for the naming game.
Journal of Language Evolution 7:2
► pp. 213 ff.

Fedden, Sebastian & Greville G. Corbett
2018.
Extreme classification.
Cognitive Linguistics 29:4
► pp. 633 ff.

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