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.
| Original language | English |
|---|---|
| Pages (from-to) | 427-436 |
| Journal | Open Linguistics |
| Volume | 2 |
| Issue number | 1 |
| Online published | 26 Oct 2016 |
| DOIs | |
| Publication status | Published - 2016 |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Research Keywords
- treebank
- direct speeech
- Chinese Buddhist Canon
- conversational network
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 3.0. https://creativecommons.org/licenses/by-nc-nd/3.0/