Modeling language contact with the Iterated Learning Model

• URL: http://arxiv.org/abs/2406.06878v2
• Date: Sun, 25 Aug 2024 23:25:08 GMT
• Title: Modeling language contact with the Iterated Learning Model
• Authors: Seth Bullock, Conor Houghton,
• Abstract summary: Iterated learning models are agent-based models of language change. A recently introduced type of iterated learning model, the Semi-Supervised ILM is used to simulate language contact.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Contact between languages has the potential to transmit vocabulary and other language features; however, this does not always happen. Here, an iterated learning model is used to examine, in a simple way, the resistance of languages to change during language contact. Iterated learning models are agent-based models of language change, they demonstrate that languages that are expressive and compositional arise spontaneously as a consequence of a language transmission bottleneck. A recently introduced type of iterated learning model, the Semi-Supervised ILM is used to simulate language contact. These simulations do not include many of the complex factors involved in language contact and do not model a population of speakers; nonetheless the model demonstrates that the dynamics which lead languages in the model to spontaneously become expressive and compositional, also cause a language to maintain its core traits even after mixing with another language.

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