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Converting Grammatical Framework to Regulus

SPEECHGRAM, Workshop on Grammar-Based Approaches to Spoken Language Processing
Year of publication: 
Conference paper - peer reviewed

We present an algorithm for converting Grammatical Framework grammars (Ranta, 2004) into the Regulus unification-based framework (Rayner et al., 2006). The main purpose is to take advantage of the Regulus-to-Nuance compiler for generating optimized speech recognition grammars. But there is also a theoretical interest in knowing how similar the two grammar formalisms are.
Since Grammatical Framework is more expressive than Regulus, the resulting Regulus grammars can be overgenerating. We therefore describe a subclass of Grammatical Framework for which the algorithm results in an equivalent Regulus grammar.

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Page updated: 2012-01-30 14:03

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