Abstract
This article describes a method to analyze characters in a literary text by considering their verbal interactions. This method exploits techniques from computational linguistics to extract all direct speech from a treebank, and to build a conversational network that visualizes the speakers, the listeners and their degree of interaction. We apply this method to create and visualize a conversational network for the Chinese Buddhist Canon. We analyze the protagonists and their interlocutors, and report statistics on their number of utterances and types of listeners, how their speech was reported, and subcommunities in the network.
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© 2016 John Lee, Tak-sum Wong
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