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Modeling dialect variation and change| old_uid | 12151 |
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| title | Modeling dialect variation and change |
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| start_date | 2013/02/28 |
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| schedule | 10h |
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| online | no |
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| location_info | salle 407 |
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| summary | Dialects often respond differently to phonetic bias. For instance, in many languages of mainland Southeast Asia, a historical contrast between voicing of initial obstruents may come to be signaled primarily by aspiration in one dialect, voice quality in another, and pitch in a third. Is a predictive model of such divergences possible? In this talk, I address the nature of phonetic change from a computational perspective. I suggest an error-driven bias to drive the differential shift in cue distributions with reference to an ongoing sound change in two dialects of Khmer (Cambodian), and present a statistical learning framework that can be used to predict such qualitative shifts. I will also discuss how this framework might be applied to the study of large-scale dialect corpora such as the PFC and PAC. |
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| responsibles | Parisse |
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