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A split-gesture, competitive, coupled oscillator model of syllable structure predicts the emergence of edge gemination and degemination
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Representing Multiple Dependencies in Prosodic Structures
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Consonant harmony, disharmony, memory and time scales
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Learnability of indexed constraint analyses of phonological opacity
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Abstract:
This paper explores the learnability of indexed constraint (Pater, 2000) analyses of opacity based on the case study of raising in Canadian English (Chomsky, 1964; Chambers, 1973). Such analyses, while avoiding multiple levels of derivation or representation, require the learner to induce indexed constraints, connect these constraints to particular segments in the lexicon, and rank these constraints. An implementation of Round’s (2017) learner for indexed constraints, which is an extension of Biased Constraint Demotion (Prince and Tesar, 2004), is used here to test whether a simple learner can rise to this challenge and learn a restrictive analysis of the opaque pattern (i.e., one that restricts raising to its proper phonological context). Three different datasets are used with decreasing evidence for a restrictive analysis, as well as three underlying form hypotheses (two of which entail entertaining multiple underlying forms for the same surface form simultaneously), with decreasing evidence for the phonotactic patterns in the data (cf. Jarosz, 2006). It is found that the learner can find a restrictive analysis of opaque raising in Canadian English, provided that the most informative dataset is used and multiple underlying forms are considered for those data points that contain [t, d, ɾ] after a diphthong.
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Keyword:
Computational Linguistics; constraint demotion; indexed constraints; learnability; opacity; Optimality Theory; Phonetics and Phonology; phonology
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URL: https://scholarworks.umass.edu/scil/vol4/iss1/16 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1227&context=scil
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Information flow, artificial phonology and typology
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Learning Interactions of Local and Non-Local Phonotactic Constraints from Positive Input
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In: Proceedings of the Society for Computation in Linguistics (2021)
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LEARNING PHONOLOGY WITH SEQUENCE-TO-SEQUENCE NEURAL NETWORKS
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In: Doctoral Dissertations (2021)
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PMKNS for PIE: Parsed Morphological KATR Networks of Sanskrit for Proto-Indo-European
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In: Theses and Dissertations--Linguistics (2020)
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Tier-Based Strictly Local Stringsets: Perspectives from Model and Automata Theory
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Emergent Typological Effects of Agent-Based Learning Models in Maximum Entropy Grammar
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In: Doctoral Dissertations (2020)
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Extending the Autosegmental Input Strictly Local Framework: Metrical Dominance and Floating Tones
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Frequency Matching Behavior in On-line MaxEnt Learners
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In: Proceedings of the Society for Computation in Linguistics (2020)
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The stability of segmental properties across genre and corpus types in low-resource languages
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Modelling Non-local Maps as Strictly Piecewise Functions
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Multi-Input Strict Local Functions for Tonal Phonology
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Questioning to Resolve Transduction Problems
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Data for: Word frequency effects in sound change as a consequence of perceptual asymmetries: An exemplar-based model ...
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Data for: Word frequency effects in sound change as a consequence of perceptual asymmetries: An exemplar-based model ...
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