treebank; direct speech; Chinese Buddhist Canon; conversational network
摘要
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.
目次
1 Introduction 427 2 Background 428 3 Treebank 428 4 Network extraction 429 4.1 Extraction of utterances 430 4.2 Speaker and listener attribution 430 4.3 Name standardization 431 5 Evaluation 431 6 Network analysis 431 6.1 Network visualization 431 6.2 Buddha and his interlocutors 432 6.3 Quotative verbs 433 6.4 Subcommunities 434 7 Conclusions 434 References 435
