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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Statistical Parsing with Context-Free Filtering Grammar
verfasst von : Michael Demko, Gerald Penn
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Statistical parsers that simultaneously generate both phrase-structure and lexical dependency trees have been limited to date in two important ways: detecting non-projective dependencies has not been integrated with other parsing decisions, and/or the constraints between phrase-structure and dependency structure have been overly strict. We introduce context-free filtering grammar as a generalization of a lexicalized factored parsing model, and develop a scoring model to resolve parsing ambiguities for this new grammar formalism. We demonstrate the new model’s flexibility by implementing a statistical parser for German, a freer-word-order language exhibiting a mixture of projective and non-projective syntax, using the TüBa-D/Z treebank [1].