Abstract
An important predictor of historical sound change, functional load, fails to capture insights from speech perception. Building on ideal observer models of word recognition, we devise a new definition of functional load that incorporates both a priori expectedness and perceptual information. We explore this new measure with a simple model and find that it outperforms traditional measures.
Cite
CITATION STYLE
Burchill, Z. J., & Jaeger, T. F. (2017). Grounding sound change in ideal observer models of perception. In CMCL 2017 - Cognitive Modeling and Computational Linguistics at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings (pp. 20–28). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-0703
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