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Proceedings of the Society for Computation in Linguistics, 2026
This work shows that small neural networks trained to perform Spanish vowel classification mimic adult Spanish-dominant listeners’ misperception of Catalan vowels, indicating that these models have promise as compact models of cross-linguistic speech perception.
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This study aims to show that Löffelsprache, a German Geheimsprache or secret language cannot be accurately classified using existing criteria associated with the description of language games.
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This project presents three models which score monosyllabic words on their English wellformedness or acceptability, and determines which model best matches gradient human intuition.
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This study demonstrates that Löffelsprache, a German language game, cannot be classified using existing descriptive criteria of language games, and posits a novel analysis, iterative templatic transformation, to account for language game forms.
Published:
This work shows that small neural networks trained to perform Spanish vowel classification mimic adult Spanish-dominant listeners’ misperception of Catalan vowels, indicating that these models have promise as compact models of cross-linguistic speech perception.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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