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http://dx.doi.org/10.9708/jksci.2014.19.9.045

Authoring Support Technique Using Text Analysis-based Dialogue History Tracking  

Kim, Hyun-Sik (Dankook University)
Park, Seung-Bo (Institute of Media Content, Dankook University)
Lee, O-Joun (Dept. of Software science, Dankook University)
Baek, Yeong-Tae (Dept. of Multimedia, Kimpo University)
You, Eun-Soon (Institute of Media Content, Dankook University)
Abstract
This paper suggests methods to chronicle and track the history of dialogues exchanged among characters to prevent logical errors of a story. As for stories that are long with many characters, especially in full-length novels and co-written stories, cognitive burden is imposed on a writer. If the writer has confused understanding of a character, then a logical error would enter the story. This would compromise completeness and integrity of writing. Against the backdrop, this paper shows how dialogues among characters are chronicled and tracked by using the aforementioned tracking methods through design of a writer support system that relieves a writer's cognitive burden while supporting the writing and through an analysis of existing novels. In addition, we showed the accuracy results of average 68.5% through the performance evaluation of the query used in the dialogue history tracking.
Keywords
authoring tool; story; character; dialogue;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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