Learning Stress with Feet and Grids
DOI:
https://doi.org/10.3765/amp.v10i0.5441Keywords:
Stress learning, Feet, Grid, MaxEnt, Hidden structureAbstract
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.Downloads
Published
2023-05-13
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Supplemental Proceedings
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Published by the LSA with permission of the author(s) under a CC BY 3.0 license.