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1
Comparing Positional Licensing Patterns in HG and OT
Bakovic, Eric; Mai, Anna. - : eScholarship, University of California, 2021
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2
On the proper treatment of weak determinism: Subsequentiality and simultaneous application in phonological maps
Meinhardt, Eric; Mai, Anna; Baković, Eric. - : eScholarship, University of California, 2021
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3
Comparing Positional Licensing Patterns in HG and OT
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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4
Unbounded circumambient patterns in segmental phonology
In: PHONOLOGY, vol 37, iss 2 (2020)
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5
Questioning to Resolve Transduction Problems
In: Proceedings of the Society for Computation in Linguistics (2020)
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6
Cumulative constraint interaction and the equalizer of OT and HG
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2019 Annual Meeting on Phonology ; 2377-3324 (2020)
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7
Phonological opacity as local optimization in Gradient Symbolic Computation
In: Proceedings of the Society for Computation in Linguistics (2018)
Abstract: We present a novel approach to counterbleeding rule interactions in Yokuts (Californian) using Gradient Symbolic Computation (GSC). GSC, a dynamical systems model, optimizes two constraint sets: a set specifying a Harmonic Grammar (HG) and a set of quantization constraints preferring discrete symbolic states. During optimization, quantization strength gradually increases, increasing the relative harmony of discrete symbolic vs. intermediate blend states. The output of the system therefore reflects the dynamics of optimization, not simply grammatical harmony. With appropriate dynamics, relatively high harmony intermediate states can trap optimization near less globally harmonic but locally optimal symbolic candidates; this can model Yokuts counterbleeding.
Keyword: Computational Linguistics; GSC; opacity; Phonetics and Phonology; phonology
URL: https://scholarworks.umass.edu/scil/vol1/iss1/35
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1041&context=scil
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