Learning bias in stress windows: Frequency and attestation

Staubs, Robert

doi:10.3765/amp.v2i0.3752

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Arguments for HS often find that iterated optimization allows for finer distinctions among output candidates than global Harmony (in constraint grammars): the relative goodness of a candidate as assessed by the constraint hierarchy; the optimal candidate is the most harmonic one optimization (McCarthy 2008b(McCarthy , 2011aand many contributions to McCarthy & Pater 2016). For example, adopting an HS grammar enforces locality in prosodic and segmental process application (McCarthy 2007b;Pruitt 2010Pruitt , 2012 and correctly restricts the directionality of repair for positional markedness and faithfulness constraints ( Jesney 2011;McCarthy 2011b;Staubs 2013Staubs , 2016. HS has also been successfully applied to the problem of local optionality (Kimper 2011) and to a range of morphology-phonology interactions (Hall et al 2018, Lamont 2021.…”

Section: Overviewmentioning

confidence: 99%

Serialism and Opacity in Phonological Theory

Pruitt

2023

Annu. Rev. Linguist.

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Opacity is a natural language phenomenon where a phonological process is rendered non-surface-true by virtue of its interaction with other processes. Phonologists have long been fascinated with opaque generalizations both from a typological standpoint (What kinds of non-surface-true generalizations are found?) and a theoretical one (Which formal tools permit an analysis of opacity?). This review aims to ( a) discuss the breadth of non-surface-true generalizations in light of phonologists’ (often implicit) working definitions of opacity and ( b) address opacity as a flashpoint in one of the larger debates in generative phonology, between the rule-based serial approach of Chomsky & Halle's Sound Pattern of English and constraint-based parallel Optimality Theory. A conclusion offered here is that the well-known problems Optimality Theory faces with some kinds of opacity are due not to its lack of serialism but to the fact that such processes are input-motivated rather than output-motivated. Expected final online publication date for the Annual Review of Linguistics, Volume 9 is January 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Overviewmentioning

confidence: 99%

Serialism and Opacity in Phonological Theory

Pruitt

2023

Annu. Rev. Linguist.

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“…Arriving at a better understanding of the biases of the learners, and comparing them to typological frequencies or human learning data is a clear potential direction for future research. Some initial comparison of grid-and foot-based learners along these lines can be found in Staubs (2014b) and Staubs (2014a). The difficulty that a foot-based learner has with the type of language illustrated by Malak Malak is the focus of Staubs' work, and it is interesting in that context that Malak Malak was relatively easy for the revised grid constraint set.…”

Section: Grid Grid-mainmentioning

confidence: 99%

Learning Stress with Feet and Grids

Lee,

Farinella,

Hughes

et al. 2023

AMP

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This paper investigates quantity-insensitive stress learning using the MaxEnt learner of Pater and Prickett (2022) and compares the performance of the learner equipped with three different constraint sets: a foot-based constraint set and two grid-based constraint sets, one drawn directly from Gordon (2002), and one that changes the formulation of the main stress constraint to match the foot-based learner. The learner equipped with the foot-based constraint set succeeds at learning all the languages from the Gordon (2002) typology that it can represent; the structural ambiguity of the foot-based representations is not a problem in this regard. The foot-based learner also learns the languages as quickly in terms of number of epochs as the faster of the grid-based learners, which is the one with the revised main stress constraint. We conclude that the foot-based learner and the grid-based learner fare similarly well in this initial comparison on a typologically grounded set of learning problems.

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Using simulated learning to account for tone typology

Breteler¹,

Boersma²

2018

6th International Symposium on Tonal Aspects of Languages (TAL 2018)

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This study reports on the first investigation into the learnability of tone spread and shift patterns, as determined by computer simulations of the learning process. Our simulations are cast within the context of a synchronic analytical framework developed in earlier work. The framework uses licensing constraints and foot structure to drive various kinds of tonal reassociation. One problem with the framework was that it was able to generate various unattested patterns. We address this problem through the learnability simulations; our results show that the representable-but-unattested patterns are harder to learn, explaining their non-attestation. This way, we demonstrate that learnability simulations are a meaningful tool for a typological account of tonal phenomena.

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Learning bias in stress windows: Frequency and attestation

Abstract: [Abstract not available]

Cited by 3 publications

References 11 publications

Serialism and Opacity in Phonological Theory

Serialism and Opacity in Phonological Theory

Learning Stress with Feet and Grids

Using simulated learning to account for tone typology

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