Automatic acquisition of feature-based phonotactic resources

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Abstract

Automata induction and typed feature theory are described in a unified framework for the automatic acquisition of feature-based phonotactic resources. The viability of this data-driven procedure is illustrated with examples taken from a corpus of syllable-labelled data.

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APA

Carson-Berndsen, J., Kelly, R., & Neugebauer, M. (2004). Automatic acquisition of feature-based phonotactic resources. In Current Themes in Computational Phonology and Morphology: 7th Meeting of the ACL Special Interest Group in Computational Phonology, Held in cooperation with ACL 2004 (pp. 27–34). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1622153.1622157

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