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From sonority hierarchy to posterior probability as a measure of lenition: The case of Spanish stops. 2023
Kevin Tang, and
Ratree Wayland, and
Fenqi Wang, and
Sophia Vellozzi, and
Rahul Sengupta, and
Lori Altmann
Department of English Language and Linguistics, Institute of English and American Studies, Heinrich-Heine-University, Düsseldorf, 40225, Germany.
A deep learning Phonet model was evaluated as a method to measure lenition. Unlike quantitative acoustic methods, recurrent networks were trained to recognize the posterior probabilities of sonorant and continuant phonological features in a corpus of Argentinian Spanish. When applied to intervocalic and post-nasal voiced and voiceless stops, the approach yielded lenition patterns similar to those previously reported. Further, additional patterns also emerged. The results suggest the validity of the approach as an alternative or addition to quantitative acoustic measures of lenition.
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