Learning unification-based grammars using the Spoken English Corpus
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 in isolation.
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 in isolation.
Abstract
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 in isolation.
Springer