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Identifying New Knowledge in Texts Through Corpus Analysis
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نویسنده
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Watson Todd Richard
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منبع
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International Journal Of Language Studies - 2013 - دوره : 7 - شماره : 4 - صفحه:57 -76
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چکیده
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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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کلیدواژه
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New Knowledge ,Lexical Priming ,Corpus Linguistics ,Text Mining
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آدرس
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King Mongkut'S University Of Technology Thonburi, Thailand
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پست الکترونیکی
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irictodd@kmutt.ac.th
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Authors
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