Symbolic and statistical approaches to language have historically been at odds - the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. There is an increasing realization in both camps that the two approaches have something to offer in achieving common goals.
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