A deep generative model of vowel formant typology

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Abstract

What makes some types of languages more probable than others? For instance, we know that almost all spoken languages contain the vowel phoneme /i/; why should that be? The field of linguistic typology seeks to answer these questions and, thereby, divine the mechanisms that underlie human language. In our work, we tackle the problem of vowel system typology, i.e., we propose a generative probability model of which vowels a language contains. In contrast to previous work, we work directly with the acoustic information-the first two formant values-rather than modeling discrete sets of phonemic symbols (IPA). We develop a novel generative probability model and report results based on a corpus of 233 languages.

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APA

Cotterell, R., & Eisner, J. (2018). A deep generative model of vowel formant typology. In NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference (Vol. 1, pp. 37–46). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n18-1004

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