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Learning Phonotactics from Linguistic Informants
We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar.
Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration
Textless self-supervised speech models have grown in capabilities in recent years, but the nature of the linguistic information they encode has not yet been thoroughly examined.
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