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Abstract This chapter argues for the role of probabilistic enhancement in phonologization through computational simulation of an ongoing sound change in Seoul Korean. Two challenges faced by a phonologization model of sound change are addressed: explaining which cues are selected for phonologization, and explaining why phonologization is often accompanied by dephonologization. It is proposed that cues are targeted for enhancement as a probabilistic function of their statistical reliability in signaling a contrast. Simulation results using empirically derived cue values are taken to support the idea that loss of contrast precision may drive the phonologization process.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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