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        <title>Incorporating tone in the calculation of phonotactic probability</title>
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            <namePart type="given">Garrett</namePart>
            <namePart type="family">Nicolai</namePart>
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            <namePart type="given">Kyle</namePart>
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    <abstract>This paper investigates how the ordering of tone relative to the segmental string influences the calculation of phonotactic probability. Trigram and recurrent neural network models were trained on syllable lexicons of four Asian syllable-tone languages (Mandarin, Thai, Vietnamese, and Cantonese) in which tone was treated as a segment occurring in different positions in the string. For trigram models, the optimal permutation interacted with language, while neural network models were relatively unaffected by tone position in all languages. In addition to providing a baseline for future evaluation, these results suggest that phonotactic probability is robust to choices of how tone is ordered with respect to other elements in the syllable.</abstract>
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    <identifier type="doi">10.18653/v1/2021.sigmorphon-1.4</identifier>
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%0 Conference Proceedings
%T Incorporating tone in the calculation of phonotactic probability
%A Kirby, James
%Y Nicolai, Garrett
%Y Gorman, Kyle
%Y Cotterell, Ryan
%S Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F kirby-2021-incorporating
%X This paper investigates how the ordering of tone relative to the segmental string influences the calculation of phonotactic probability. Trigram and recurrent neural network models were trained on syllable lexicons of four Asian syllable-tone languages (Mandarin, Thai, Vietnamese, and Cantonese) in which tone was treated as a segment occurring in different positions in the string. For trigram models, the optimal permutation interacted with language, while neural network models were relatively unaffected by tone position in all languages. In addition to providing a baseline for future evaluation, these results suggest that phonotactic probability is robust to choices of how tone is ordered with respect to other elements in the syllable.
%R 10.18653/v1/2021.sigmorphon-1.4
%U https://aclanthology.org/2021.sigmorphon-1.4
%U https://doi.org/10.18653/v1/2021.sigmorphon-1.4
%P 32-38

Markdown (Informal)

[Incorporating tone in the calculation of phonotactic probability](https://aclanthology.org/2021.sigmorphon-1.4) (Kirby, SIGMORPHON 2021)

• Incorporating tone in the calculation of phonotactic probability (Kirby, SIGMORPHON 2021)

ACL

• James Kirby. 2021. Incorporating tone in the calculation of phonotactic probability. In Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 32–38, Online. Association for Computational Linguistics.