Abstract
Contextual Binary Feature Grammars were recently proposed by (Clark et al., 2008) as a learnable representation for richly structured context-free and context sensitive languages. In this paper we examine the representational power of the formalism, its relationship to other standard formalisms and language classes, and its appropriateness for modelling natural language.
Original language | English |
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Title of host publication | EACL 2009 workshop on Computational Linguistic Aspects of Grammatical Inference |
Publisher | Association for Computational Linguistics |
Publication status | Published - 2009 |