Corpus Analysis for Literary Studies: Application and Relevance
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Date
2021-08-28T00:00:00
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Springer Science and Business Media Deutschland GmbH
Abstract
The use of corpus tools for the teaching-learning and research of literary texts is not widespread. The present study attempts to explore the possibility of the use of corpus tools in literature classrooms. It involves the creation of a corpus of representative poetry of major English poets belonging to the Modern period of English literature, W. B. Yeats, T. S. Eliot, and W. H. Auden. Using concordance software AntConc, a corpus of Word Types and Word Tokens was prepared. The corpus data showed the most frequent words, collocations, and concordances used in the selected�poetry of the period. An attempt at juxtaposing the results of the study with the common thematic, narrative, and stylistic interpretations of the poems is made. The results also indicate the potential of enhancing the reliability of the corpus-based analysis of literary texts, especially when corpora were extensive. A significant implication of the study was found to be that the corpus-tools could play a crucial role in promoting learner autonomy in a traditionally teacher-led literature classroom. � 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Keywords
Collocation, Concordance, Corpus analysis, Literary texts, Word frequency