ML p(r)ior | Learning unification-based grammars using the Spoken English Corpus
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Learning unification-based grammars using the Spoken English Corpus

1994-06-28
9406040 | cmp-lg
This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven learning can produce a more plausible grammar than is the case when using either learning style isolation.
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