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Discovering Characteristic Patterns from Collections of Classical Japanese Poems
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 1532/1998 |
| Book | Discovey Science |
| DOI | 10.1007/3-540-49292-5 |
| Copyright | 1998 |
| ISBN | 978-3-540-65390-5 |
| DOI | 10.1007/3-540-49292-5_12 |
| Pages | 129-141 |
| Subject Collection | Computer Science |
| SpringerLink Date | Sunday, January 20, 2008 |
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Discovering Characteristic Patterns from Collections of Classical Japanese Poems
Mayumi Yamasaki3  , Masayuki Takeda3 , Tomoko Fukuda4 and Ichirō Nanri5
| (3) |
Department of Informatics, Kyushu University, 33, Fukuoka 812-8581, Japan |
| (4) |
Fukuoka Jo Gakuin College, Ogōri 838-0141, Japan |
| (5) |
Junshin Women’s Junior College, Fukuoka 815-0036, Japan |
Abstract
Waka is a form of traditional Japanese poetry with a 1300-year history. In this paper, we attempt to discover characteristics
common to a collection of Waka poems. As a formalism for characteristics, we use regular patterns where the constant parts are limited to sequences of auxiliary
verbs and postpositional particles. We call such patterns fushi. The problem is to find automatically significant fushi patterns
that characterize the poems
Solving this problem requires a reliable significance measure for the patterns. Brāzma et al. (1996) proposed such a measure
according to the MDL principle. Using this method, we report successful results in finding patterns from five anthologies.
Some of the results are quite stimulating, and we hope that they will lead to new discoveries. Based on our experience, we
also propose a pattern-based text data mining system. Further research into waka poetry is now proceeding using this system
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