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1
The Credit Problem in parametric stress: A probabilistic approach
In: Linguistics Department Faculty Publication Series (2021)
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2
Modeling the Acquisition of Phonological Interactions: Biases and Generalization
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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3
Learning syntacti parameter settings without triggers by assigning credit and blame
In: CLS 55, 2019 : proceedings of the fifty-fifth annual meeting of the Chicago Linguistic Society (2020), S. 337-350
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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4
Preface: SCiL 2020 Editors' Note
In: Proceedings of the Society for Computation in Linguistics (2020)
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5
Learning Exceptionality and Variation with Lexically Scaled MaxEnt ...
Hughto, Coral; Lamont, Andrew; Prickett, Brandon. - : University of Massachusetts Amherst, 2019
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6
Learning Exceptionality and Variation with Lexically Scaled MaxEnt
In: Proceedings of the Society for Computation in Linguistics (2019)
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7
Evaluating Domain-General Learning of Parametric Stress Typology
In: Proceedings of the Society for Computation in Linguistics (2019)
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8
Learning syntactic parameters without triggers by assigning credit and blame
In: Joe Pater (2019)
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9
Preface: SCiL 2019 Editors’ Note
In: Proceedings of the Society for Computation in Linguistics (2019)
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10
Preface: SCiL 2018 Editors’ Note
In: Proceedings of the Society for Computation in Linguistics (2018)
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11
Learning Parametric Stress without Domain-Specific Mechanisms
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2016 Annual Meeting on Phonology ; 2377-3324 (2017)
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12
Sonority Sequencing in Polish: the Combined Roles of Prior Bias & Experience
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2016 Annual Meeting on Phonology ; 2377-3324 (2017)
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13
Learning Opaque and Transparent Interactions in Harmonic Serialism
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2015 Annual Meeting on Phonology ; 2377-3324 (2016)
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14
Cognitive limitations impose advantageous constraints on word segmentation
In: Proceedings of the 39th annual Boston University Conference on Language Development, Volume 2 (Boston, 2015), p. 231-243
MPI für Psycholinguistik
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15
Probabilistic Selection of Input in Morphophonological Acquisition
Chen, Tsung-Ying. - : University of Alberta. Department of Linguistics., 2014
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16
Probabilistic Selection of Input in Morphophonological Acquisition
Chen, Tsung-Ying. - : University of Alberta. Department of Linguistics., 2014
Abstract: Degree: Doctor of Philosophy ; Abstract: This dissertation sets out to explain the development during morphophonological acquisition and its possible learning outcomes by constructing a Probabilistic Selection of Input (PSI) rich lexicon learning model, in part based on psycholinguistic evidence that rich language details are lexically encoded. Contrary to traditional UR assumptions based on lexical economy, PSI stores and associates all surface allomorphs of a morpheme in a rich lexicon as possible inputs of the morpheme. Through the lexical associations between stored allomorphs, the leaerner assigns a probability between 0 and 1 to each allomorph and probabilistically select the phonological input of the morpheme. Output pattern variation along the acquisition course is thus analyzed as results of different input preferences and corresponding grammar shifts at sequential stages, and a successful morphophonological learning stands for an adult-like lexical generalization (i.e. input probabilities) and phonological grammar captured by learners. Diachronic morphophonemic changes can nevertheless occur with a shift in input preferences over learning generations, which gradually leads to permanent grammar shifts. PSI is tested with computer simulations using corpus data as a training corpus in various case studies, including the acquisition of Dutch stem-final voicing alternation (Chapter 3), the diachronic change of Mandarin Tone 3 (Chapter 4), and the emergence of Korean stem-final obstruent variations (Chapter 5). Learning outcomes similar to the performance by native speakers in elicitation tasks are demonstrated in the PSI simulations as a result of temporarily or permanently selecting different stored allomorphs as phonological inputs.
Keyword: Computer modeling; Dutch; Hybrid model; Korean; Language acquisition; Mandarin; Morphophonology
URL: https://doi.org/10.7939/R3MD5G
http://hdl.handle.net/10402/era.39225
https://era.library.ualberta.ca/items/c25ffce7-6be8-48e5-8006-0a05db202ebf
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17
Serial Markedness Reduction
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2013 Annual Meeting on Phonology ; 2377-3324 (2014)
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18
Learning with hidden structure in Optimality Theory and Harmonic Grammar: beyond Robust Interpretive Parsing*
In: Phonology. - Cambridge [u.a.] : Cambridge Univ. Press 30 (2013) 1, 27-71
OLC Linguistik
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19
The Richness of Distributional Cues to Word Boundaries in Speech to Young Children
In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 9 (2013) 2, 175-210
OLC Linguistik
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20
Commitment-based learning of hidden linguistic structures
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