A Deep Generative Model of Vowel Formant Typology

July 08, 2018 ยท Declared Dead ยท ๐Ÿ› North American Chapter of the Association for Computational Linguistics

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Authors Ryan Cotterell, Jason Eisner arXiv ID 1807.02745 Category cs.CL: Computation & Language Citations 7 Venue North American Chapter of the Association for Computational Linguistics Last Checked 4 months ago
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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