In literary theory, the term Post-structuralism is a prominent concept which is built upon structuralism and at the same time it negates the ideas associated with that. Though post-structuralists all present different critiques of structuralism, common themes among them include the rejection of the self-sufficiency of structuralism, as well as an interrogation of the binary oppositions that constitute its structures. Accordingly, post-structuralism discards the idea of interpreting media (or the world) within pre-established, socially constructed structures. The purpose of this research was to revisit Post-Structuralism by selecting George Orwell's Animal Farm as a target text for this research. Post-Structuralists like Derrida (1966),Foucault (1994), and Barthes (1975) argue that no ultimate truth can be found with the help of binary opposition. Power and knowledge change the truth and pre-existing realities into a new phenomena. This research endorses the ideas of poststructuralists and Animal Farm offers allegorical representation which indicates a multiplicity of truth.

Corpus-based approaches to analyze literary texts are getting popular as these provide unbiased and transparent quantitative results of a specific phenomenon within a limited time. This study utilizes Halliday and Hassan’s model of cohesion to conduct corpus-based study of conjunctions of James Joyce’s novel A Portrait of the Artist as a Young Man. Their model of cohesion is based on two main types of cohesion that are lexical cohesion and grammatical cohesion. The main concern of this research is grammatical cohesion. Grammatical cohesion considers four main types of cohesion that are ellipsis, substitution, referencing, and conjunctions. Conjunctions are the words that join words, sentences, and phrases, and coherence is achieved in a text. This AntConc corpus tool by Lawrence Anthony is used for text analysis, text mining, and for general-purpose analysis. Results and findings are elaborated with the help of figures and tables that are taken from the corpus tool