Using Template-Grammars for Shake & Bake Paraphrasing
نویسندگان
چکیده
In this paper we propose an approach to corpus-based generation in a machine translation framework that is similar to shake & bake (Whitelock, 1992). A bag of words is mapped against an automatically induced TL template grammar and a sentence is generated by recursively applying rules that are extracted from the template grammar. A test version of the template grammar is enriched with further lexical and grammatical variation patterns. We show how we induce a template grammar and how it is enriched with additional paraphrasing knowledge. We suggest a framework for weighing and training the template grammars and show that the enriched template grammars produce better paraphrases.
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