Discovering instances of poetic allusion from anthologies of classical Japanese poems

Authors:
Masayuki Takeda;Tomoko Fukuda;Ichiro Nanri;Mayumi Yamasaki;Koichi Tamari
Affiliations:
Department of Informatics, Kyushu University, 33 Fukuoka 812-8581, Japan and PRESTO, Japan Science and Technology Corporation (JST), Kawaguchi 332-0012, Japan;Junshin Women's Junior College, Fukuoka 815-0036, Japan;Junshin Women's Junior College, Fukuoka 815-0036, Japan;Fujitsu FIP Corp. and Department of Informatics, Kyushu University, 33 Fukuoka 812-8581, Japan;Matsushita Electric Industrial Co., Ltd. and Department of Informatics, Kyushu University, 33 Fukuoka 812-8581, Japan
Venue:
Theoretical Computer Science
Year:
2003

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Abstract

Waka is a form of traditional Japanese poetry with a 1300-year history. In this paper, we attempt to semi-automatically discover instances of poetic allusion, or more generally, to find similar poems in anthologies of Waka poems. One reasonable approach would be to arrange all possible pairs of poems in two anthologies in decreasing order of similarity values, and to scrutinize high-ranked pairs by human effort. The means of defining similarity between Waka poems plays a key role in this approach. In this paper, we generalize existing (dis)similarity measures into a uniform framework, called string resemblance systems, and using this framework, we develop new similarity measures suitable for finding similar poems. Using the measures, we report successful results in finding instances of poetic allusion between two anthologies Kokin-Shu and Shin-Kokin-Shu. Most interestingly, we have found an instance of poetic allusion that has never before been pointed out in the long history of Waka research.