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Linguistics                                                   Gowher Ahmad Naik, Lovely Professional University



                  Notes
                                  Unit 25: Transformational Rules: Application-Tree Diagrams




                                   CONTENTS
                                   Objectives
                                   Introduction
                                   25.1 Deep Structure and Surface Structure
                                   25.2 Development of Basic Concepts
                                   25.3 Transformations
                                   25.4 Constituency-Based Parse Trees
                                   25.5 Dependency-Based Parse Trees
                                   25.6 Summary
                                   25.7 Review Questions
                                   25.8 Further Readings


                                 Objectives

                                 After studying this Unit students will be able to:
                                 •    Explain deep structure and surface structure
                                 •    Illustrate tree diagrams

                                 Introduction
                                 In linguistics, a transformational grammar or transformational-generative grammar (TGG) is a
                                 generative grammar, especially of a natural language, that has been developed in the Chomskyan
                                 tradition of phrase structure grammars (as opposed to dependency grammars). Additionally,
                                 transformational grammar is the tradition that gives rise to specific transformational grammars.
                                 Much current research in transformational grammar is inspired by Chomsky's Minimalist Program.

                                 25.1 Deep Structure and Surface Structure

                                 In 1957, Noam Chomsky published Syntactic Structures, in which he developed the idea that each
                                 sentence in a language has two levels of representation - a deep structure and a surface structure.
                                 The deep structure represented the core semantic relations of a sentence, and was mapped on to
                                 the surface structure (which followed the phonological form of the sentence very closely) via
                                 transformations. Chomsky believed there are considerable similarities between languages' deep
                                 structures, and that these structures reveal properties, common to all languages that surface
                                 structures conceal. However, this may not have been the central motivation for introducing deep
                                 structure. Transformations had been proposed prior to the development of deep structure as a
                                 means of increasing the mathematical and descriptive power of context-free grammars. Similarly,
                                 deep structure was devised largely for technical reasons relating to early semantic theory. Chomsky
                                 emphasizes the importance of modern formal mathematical devices in the development of
                                 grammatical theory:
                                 But the fundamental reason for [the] inadequacy of traditional grammars is a more technical one.
                                 Although it was well understood that linguistic processes are in some sense "creative," the technical
                                 devices for expressing a system of recursive processes were simply not available until much more
                                 recently. In fact, a real understanding of how a language can (in Humboldt's words) "make infinite
                                 use of finite means" has developed only within the last thirty years, in the course of studies in the
                                 foundations of mathematics.


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