Identifying new knowledge in texts through corpus analysis
Journal: International Journal of Language Studies (Vol.7, No. 4)Publication Date: 2013-10-01
Authors : Richard WATSON TODD;
Page : 57-76
Keywords : New Knowledge; Key Concepts; Lexical Priming; Key Conceptual Associations; Corpus Linguistics; Text Mining;
Abstract
Taking knowledge as comprising concepts and conceptual associations, this paper attempts to identify knowledge likely to be new to readers in an informative text through a corpus analysis based on lexical priming theory. Potential new concepts are identified through a keyness comparison between the text and the British National Corpus (BNC), taken as a rough representation of readers’ likely existing knowledge. Potential new conceptual associations are identified through a comparative z-score analysis of wide-span co-occurrences in the text and the BNC. This approach appears to have potential and has applications in text mining.
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