Hierarchical structure in semantic networks of Japanese word associations

PACLIC 21 - The 21st Pacific Asia Conference on Language, Information and Computation, Proceedings

Volumn , Issue , 2007, Pages 321-329

  Miyake, Maki ^a   Joyce, Terry ^b   Jung, Jaeyoung ^c   Akama, Hiroyuki ^c  

^a OSAKA UNIVERSITY   (Japan)

^b TAMA UNIVERSITY   (Japan)

^c TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Graph clustering; Japanese word associations; Network analysis

Indexed keywords

ANALYSIS APPROACH; DYNAMIC REPRESENTATION; GRAPH CLUSTERING; GRAPH REPRESENTATION; HIERARCHICAL ARCHITECTURES; HIERARCHICAL ORGANIZATIONS; HIERARCHICAL STRUCTURES; LARGE-SCALE STRUCTURE; NETWORK CLUSTERING; NETWORK STRUCTURES; SCALE-FREE; SEARCH SYSTEM; SEMANTIC NETWORK; SMALL WORLDS; STATISTICAL FEATURES; WEB-BASED APPLICATIONS; WORD ASSOCIATION;

CLUSTERING ALGORITHMS; ELECTRIC NETWORK ANALYSIS;

SEMANTICS;

EID: 84863793893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (19)

1. Barabasi, A.L. and R. Albert. 1999. Emergence of scaling in random networks. Science, 286, 509-512.
2. Church, K.W. and P. Hanks. 1990. Word association norms, mutual information, and lexicography. Computational Linguistics, 16, 22-29.
3. Dorogovtsev, S.N., A.V. Goltsev and J.F.F. Mendes. 2001. Pseudofractal Scall-free Web. e-print cond-mat/0112143.
4. Dorow, B., D. Widdows, K. Ling, J. Eckmann, D. Sergi and E. Moses. 2005. Using Curvature and Markov Clustering in Graphs for Lexical Acquisition and Word Sense Discrimination. Proceeding of the Second Workshop of the Meaning Project.
5. Jung, J., M. Miyake and H. Akama. 2006. Recurrent Markov Cluster (RMCL) Algorithm for the Refinement of the Semantic Network, International Conference on Language Resources and Evaluation. pp.1428-1432.
6. Jung, J., M. Miyake, N. Makoshi and H. Akama. 2006. Development of a Web-based Composition Support System: Using Graph Clustering Methodologies Applied to an Associative Concepts Dictionary. Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies, pp.431-435.
7. Joyce, T. 2005. Constructing a Large-scale Database of Japanese Word Associations. In K. Tamaoka, ed., Corpus Studies on Japanese Kanji (Glottometrics 10). pp. 82-98. Hituzi Syobo and RAM-Verlag.
8. Joyce, T. 2006. Mapping Word Knowledge in Japanese: Constructing and Utilizing a Large-scale Database of Japanese Word Associations. Proceedings of the Large-Scale Knowledge Resources Symposium, pp.155-158.
9. Joyce, T. 2007. Mapping Word Knowledge in Japanese: Coding Japanese Word Associations. Proceedings of the Large-Scale Knowledge Resources Symposium, pp. 233-238.
10. Miyake, M. 2006. Implementing a Semantic Network of the Synoptic Gospels based on Graph Clustering, IPSJ SIG Computers and the Humanities Symposium, 161-165.
11. Moss, H. and Older L. 1996. Birkbeck Word Association Norms. Psychological Press.
12. Okamoto, J. and S. Ishizaki. 2001. Associative Concept Dictionary and its Comparison Electronic Concept Dictionaries. PACLING2001, 214-220.
13. Ravasz, E. and A.L. Barabasi. 2003. Hierarchical Organization in Complex Networks. Physical Review E, 67, 026112.
14. Umemoto, T. 1969. Word Association Norms: Free Associations from 1,000 University Students. (in Japanese). Tokyo Daigaku Shuppankai.
15. Steyvers, M. and J.B. Tenenbaum. 2005. The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth, Cognitive Science, 29(1), 41-78.
16. van Dongen, S. 2000. Graph Clustering by Flow Simulation. Ph.D. thesis, University of Utrecht.
17. Vechthomova, O., D. Gfeller, J.-C. Chappelier and P. De Los Rios. 2005. Synonym Dictionary Improvement through Markov Clustering and Clustering Stability. International Symposium on Applied Stochastic Models and Data Analysis, 106-113.
18. Watts, D. and S. Strogatz. 1998. Collective Dynamics of 'Small-world' Networks, Nature, 393, 440-442.
19. Widdows, D., S. Cederberg and B. Dorow. 2002. Visualisation Techniques for Analysing Meaning. Proceeding of the Fifth International Conference on Text, Speech and Dialogue, p. 107-115.