Learning Probabilistic Dependency Grammars from Labeled Text

Contents

We present the results of experimenting with schemes for learning probabilistic dependency grammars for English from corpora labelled with part-of-speech information. We intend our system to produce widecoverage grammars which have some resemblance to the standard 2 context-free grammars of English which grammarians and linguists commonly exhibit as exampies.