Virginia Wolf and Anita Desai: A Comparative Study of Female Consciousness through Critical Discourse Analysis and Intertextuality
Abstract
This study compares the works of Virginia Woolf and Anita Desai, focusing on how each author explores the inner lives of women. Using Critical Discourse Analysis (CDA) and intertextual analysis, this study examines how language choices, such as vocabulary, sentence structure, and imagery, reflect and challenge the expectations placed on women by society. Drawing on Woolf’s Mrs. Dalloway, To the Lighthouse, and A Room of One’s Own, alongside Desai’s Cry, the Peacock, Fire on the Mountain, and Clear Light of Day, this study asks: how does each writer use language to capture women’s experiences and to push back against traditional roles? The analysis further explores the cultural and historical contexts that inform both writers’ works, offering a nuanced understanding of female subjectivity across time and place.
It examines how vocabulary, syntax, narrative voice, interior monologue, silence, repetition, and imagery construct women’s experiences while simultaneously questioning the dominant gender ideologies.
Woolf and Desai employ language not merely as a means of representing women’s psychological experiences but also as a subtle form of resistance to socially prescribed identities. Through an intertextual reading of the selected works, this study identifies both continuities and differences in the writers’ representations of female agency. While Woolf interrogates patriarchal conventions through formal experimentation and feminist critique, Desai adapts and transforms similar concerns within distinctly Indian social and cultural contexts. The comparative analysis demonstrates how language becomes a site where gender, identity, culture, memory, and resistance intersect. By placing Woolf and Desai in dialogue, this study contributes to a broader understanding of the evolving representation of female subjectivity across different historical, geographical, and cultural contexts.
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