A framework for incorporating alignment information in parsing

Authors:
Mark Hopkins;Jonas Kuhn
Affiliations:
Saarland University, Saarbrücken, Germany;Saarland University, Saarbrücken, Germany
Venue:
CrossLangInduction '06 Proceedings of the International Workshop on Cross-Language Knowledge Induction
Year:
2006

Citing 6
Cited 1

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Abstract

The standard PCFG approach to parsing is quite successful on certain domains, but is relatively inflexible in the type of feature information we can include in its probabilistic model. In this work, we discuss preliminary work in developing a new probabilistic parsing model that allows us to easily incorporate many different types of features, including crosslingual information. We show how this model can be used to build a successful parser for a small handmade gold-standard corpus of 188 sentences (in 3 languages) from the Europarl corpus.