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In theoretical linguistics, generative grammar refers to a particular approach to the study of syntax. A generative grammar of a language attempts to give a set of rules that will correctly predict which combinations of words will form grammatical sentences. In most approaches to generative grammar, the rules will also predict the morphology of a sentence. Generative grammar originates in the work of Noam Chomsky, beginning in the late 1950s. (Early versions of Chomsky's theory were called Transformational Grammar.) There are a number of competing versions of generative grammar currently practiced within linguistics. Chomsky's current theory is known as the Minimalist Program. Other prominent theories include or have included Head-driven phrase structure grammar, Lexical functional grammar, Categorial grammar, Relational grammar, and Tree-adjoining grammar. Most versions of generative grammar characterize sentences as either grammatically correct (also known as well formed) or not. The rules of a generative grammar typically function as an algorithm to predict grammaticality as a discrete (yes-or-no) result. In this respect, it differs from stochastic grammar which considers grammaticality as a probabilistic variable. However, some work in generative grammar (e.g. recent work by Joan Bresnan) uses stochastic versions of Optimality theory. There are a number of different approaches to generative grammar. Common to all is the effort to come up with a set of rules or principles that will account for the well-formed expressions of a natural language. The term generative grammar has been associated with at least the following schools of linguistics
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