The Characteristics of Personae Observed Within Toraakirabon Kyogen Scripts: Extracting Conceptual Words Using Quantitative Analysis

poster / demo / art installation
Authorship
  1. 1. Akihiro Kawase

    National Institute for Japanese Language and Linguistics

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The Characteristics of Personae Observed Within Toraakirabon Kyogen Scripts: Extracting Conceptual Words Using Quantitative Analysis

Kawase
Akihiro

National Institute for Japanese Language and Linguistics, Japan
kawase.ak@gmail.com

2014-12-19T13:50:00Z

Paul Arthur, University of Western Sidney

Locked Bag 1797
Penrith NSW 2751
Australia
Paul Arthur

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Paper

Poster

Kyogen scripts
traditional comic drama
numerical analysis
discourse studies
corpus studies

classical studies
film and cinema studies
text analysis
data mining / text mining
English

This study analyzes
Noh farces (farces in the Japanese traditional performing arts), which have not been the subject of natural language processing research until now. The goal of this study is to quantitatively analyze the text of
Noh farce scripts from the perspective of vocabulary to verify how the status and roles of the characters are defined. Specifically, this study compares the keywords (unique concepts) of the various statuses and roles by constructing a text corpus of
Noh farce character dialogues categorized by status and role, and using co-occurrence networks of frequently occurring vocabulary and statistical indices in order to make the characteristics visible.

Noh farces are linguistic corpuses that have had an important position from medieval to early modern times (Keene, 1999). In particular,
Noh farces have a very high value as a spoken-language corpus because of the following three points: (1) stories proceed in dialogue format, (2) the conversation portions clearly depict situations and statuses, and (3) characters are diverse and have different statuses and roles.

Therefore, organizing the text of
Noh farce scripts into machine-readable formats and executing quantitative analysis not only contributes to the clarification of the actual language spoken in early modern times, but is also significant because it promotes humanities research, such as the history of the Japanese language and descriptive bibliography. This study provides a comprehensive analysis of character speech in
Noh farces from a corpus linguistics perspective and deciphers the roles that the people play.

Subject of Analysis

The analysis in this study uses the text corpus in the
Toraakira Kyōgenshū (
Toraakira Noh Farce Collection, 1642), a collection digitized, organized, and morphologically analyzed by the National Institute of Japanese Language and Linguistics (NINJAL) (Ogiso et al., 2013). At NINJAL, digitization and morphological analysis have been done thus far on the literature of several ages and styles (e.g., Kawase et al., 2014a; 2014b). The analysis of character dialogue in this text corpus (e.g., Figure 1) was conducted using MeCab Ver.0.993 (Kudo, 2012) with the morphological analysis dictionary exclusive to
Noh farces.

Figure 1. Excerpt script of
Ebisu Dai-koku from
Toraakira Kyōgenshū.

Word Frequency Analysis

Here, both TF-IDF (term frequency-inverse document frequency) and CIDF (comparative IDF) used in Murai and Tokosumi (2009) was applied to the
Noh farce text corpus, and unique vocabulary was extracted for the status and role for the top 10 characters who spoke the highest number of times.
CIDF is an index that defines the desired word
t as a ratio of
idf
a (IDF value found based on the number of texts
d
a where that word appeared in all text
D
a) and
idf
g (IDF value found based on the number of texts
d
g where that word appeared in all text
D
g in the specific genre, which is the case in the statuses and roles of the characters):

Table 1 shows the broader terms for the TF-IDF and CIDF value calculated for the nouns that appear in the dialogue between the
kaja (servant) who appears most often in the
Toraakira Kyōgenshū and the
shū (master) who appears the next most often.

Table 1. Extracted keyword lists for
kaja and
shū using TF-IDF and CIDF.

Figure 2. A keyword network (co-occurrence network) of
kaja.

Figure 3. A keyword network (co-occurrence network) of
shū.

Network Centrality Analysis

In order to explore the structure of the concepts for each character, we describe a co-occurrence network of the top 50 words that appeared in the dialogue (e.g., Figures 2 and 3), and applied network analysis techniques to numerically grasp the differences among the networks. More specifically, we used several networking algorithms based on the concept of centrality (e.g., degree, closeness, and eigen value). Table 2 shows the results of a summary of the top 10 values of network centrality for
kaja and
shū. As given above, effectively using the characteristic vocabulary extracted here gives the ability to define the status and role of the characters in the situation.

Table 2. Values of network centrality for
kaja and
shū.

Conclusions and Future Research

Since
Noh farces are for recreation and depict fictional worlds, and viewers understand people, events, and situations by integrating the information they obtain from the background knowledge and text (speech and behavior of the character) (van Dijik and Kintsch, 1983), the result of this study quantitatively clarified the characteristic vocabulary (references and concepts) that defines the statuses and roles of the characteristics in
Noh farce script texts. However,
Noh farces proceed in dialogue format, and the speech of the characters probably changes when the person listening to the speaker changes. A future topic is to extract the concepts for defining the statuses and roles of the characters more comprehensively and in more detail by analyzing the relationships between the speakers and the people listening, which will promote humanities research in the field of Japanese traditional performing arts.

Funding
This work was supported by the collaborative research project Design of a Diachronic Corpus and Study of the History of the Japanese Language Using Statistics and Machine Learning carried at the National Institute for Japanese Language and Linguistics.

Bibliography

Kawase, A., Ichimura, T. and Ogiso, T. (2014a). Problems in Encoding Documents of Early Modern Japanese.
Proceedings of the Digital Humanities 2014, Lausanne, Switzerland, pp. 225–27.

Kawase, A., Ichimura, T., and Ogiso, T. (2014b). Quantitative Analysis of Dialogues in
Toraakira Kyōgenshū.
Proceedings of the Annual Meeting of NLP 2014, Baltimore, MD, pp. 662–65.

Keene, D. (1999).
A History of Japanese Literature. Vol. 2.
World within Walls. Columbia University Press, New York.

Kudo, T. (2012). MeCab: Yet Another Japanese Dependency Structure Analyzer. https://code.google.com/p/mecab/.

Murai, H. and Tokosumi, A. (2009). Towards a Quantitative Research Approach to Literary Review: Quantitative Analysis of Book Reviews.
Journal of Japan Society of Information and Knowledge,
19(2): 120–25.

Ogiso, T., Ichimura, T. and Kouno, T. (2013). Prelminary Study of Morphological Analysis of Early Modern Japanese.
Proceedings of the 4th Workshop on Corpus Japanese Linguistics, pp. 145–50.

Van Dijik, T. A. and Kintsch, W. (1983).
Strategies of Discourse Comprehension. Academic Press, New York.

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Conference Info

Complete

ADHO - 2015
"Global Digital Humanities"

Hosted at Western Sydney University

Sydney, Australia

June 29, 2015 - July 3, 2015

280 works by 609 authors indexed

Series: ADHO (10)

Organizers: ADHO