
We discuss a cue-based grammar induction approach based on a parallel theory of grammar. Our model is based on the hypotheses of interdependency between linguistic levels (of representation) and inductability of specific structural properties at a particular level, with consequences for the induction of structural properties at other linguistic levels. We present the results of three different cue-learning experiments and settings, covering the induction of phonological, morphological, and syntactic properties, and discuss potential consequences for our general grammar induction model.
machine learning; language acquisition; statistical models, language acquisition, machine learning, statistical models
machine learning; language acquisition; statistical models, language acquisition, machine learning, statistical models
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