Learning Phonotactics from Linguistic Informants

arXiv:2405.04726v1 Announce Type: new
Abstract: We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar. Given a grammar formalism and a framework for synthesizing data, our model iteratively selects or synthesizes a data-point according to one of a range of information-theoretic policies, asks the informant for a binary judgment, and updates its own parameters in preparation for the next query. We demonstrate the effectiveness of our …

abstract arxiv cs.cl data framework grammar information interactive language learn type