LINGUIST List 21.2670
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Tue Jun 22 2010
Diss: Lang Acq/Phonology/Psycholing: Hatfield: 'Temporal Expectancy...'
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1. Hunter
Hatfield,
Temporal Expectancy and the Experience of Statistics in Language Processing
Message 1: Temporal Expectancy and the Experience of Statistics in Language Processing
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Date: 21-Jun-2010
From: Hunter Hatfield <hunterh hawaii.edu>
Subject: Temporal Expectancy and the Experience of Statistics in Language Processing
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Institution: University of Hawai'i at Mānoa
Program: Department of Linguistics
Dissertation Status: Completed
Degree Date: 2010
Author: Hunter B Hatfield
Dissertation Title: Temporal Expectancy and the Experience of Statistics in Language Processing
Linguistic Field(s):
Language Acquisition
Phonology
Psycholinguistics
Dissertation Director:
William O'Grady
Dissertation Abstract:
This dissertation assesses the relationship between statistical learning and temporal perception. It starts entertaining a bold hypothesis: that former demonstrations of statistical learning were actually demonstrations that isochronous word onsets could be used to segment words within speech. To assess this, two languages are created. One language employs varying word lengths (2 and 3 syllables) and varying word durations. The second employs varying word lengths and identical word durations. It is expected that learning will be better in the case with identical word durations. Three conclusions are reached through analysis of the resulting data. 1) The data cannot be adequately explained without positing knowledge of the statistical distributions of syllables. This then rejects the hypothesis that isochronous word onset intervals created a confound in previous work. However, the statistical knowledge is most consistent with the notion that the distributional patterns are signaling a prosodic break, not a lexical one. The Information / Duration hypothesis is presented along with this argument. This hypothesis states that an increase in uncertainty will be experienced as an increase in duration. 2) The time course of word segmentation should not be overlooked. Previous claims that one cue is stronger for segmentation than another cue might be better explained by temporal priority. Cues that are encountered first will set expectations more than later cues. 3) Statistical learning should result in greater demonstrations of learning than seen in the experimental results. This is most consistent with the presence of a competing cue. Entrainment to a rhythmic stimulus, the earlier proposed confound, is the most natural competing cue here. Much of the work is interpreted within theories of time perception based upon dynamic oscillators. The main result is that attention is a prime mechanism to control what sorts of items are calculated in statistical learning, and rhythm is one method to control attention. The dissertation also assesses what it is like for a speaker to experience a statistical distribution rather than simply calculate it.
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