A Constructionist Approach to Grammar Inference
نویسندگان
چکیده
Models based on Chomskyan grammar are not as pervasive in certain NLP applications as might be expected from their status in linguistics, comparing to, e.g., statistical n-gram models or vector space models. In contrast, here grammar inference is approached from the viewpoint of constructionist theories of language, which avoid the separation of morphology, syntax, semantics and pragmatics. We consider the utility of constructionist theories in NLP applications, present a computational framework for learning constructions, and discuss related methodological work.
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