Contextually self-organized maps of chinese words

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6731 LNCS, Issue , 2011, Pages 16-29

  Kohonen, Teuvo ^a   Xing, Hongbing ^b  

^a AALTO UNIVERSITY   (Finland)

^b BEIJING LANGUAGE AND CULTURE UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

OVERLAPPING CLUSTERS; SELF-ORGANIZED MAPS; WORD FREQUENCIES; DIFFERENT CLASS;

CONFORMAL MAPPING; GRAPHIC METHODS;

SELF ORGANIZING MAPS;

EID: 79959318654     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21566-7_2     Document Type: Conference Paper

References (8)

1. Ritter, H., Kohonen, T.: Self-organizing semantic maps. Biol. Cyb. 61, 241-254 (1989).
2. Honkela, T., Pulkki, V., Kohonen, T.: Contextual relations of words in Grimm tales, analyzed by self-organizing maps. In: Fogelman-Soulíe, F., Gallinari, P. (eds.) Proc. ICANN 1995, Int. Conf. on Artificial Neural Networks, vol. II, pp. 3-7. EC2, Nanterre, France (1995).
3. Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer, Heidelberg (2001).
4. Kohonen, T.: Contextually Self-Organized Maps of Chinese Words. TKK Reports in Information and Computer Science, TKK-ICS-R30. Aalto University School of Science and Technology, Espoo, Finland (2010) (This report is downloadable from ics.tkk.fi/en/research/publications).
5. Kohonen, T.: Contextually Self-Organized Maps of Chinese Words. Part II, TKK Reports in Information and Computer Science, TKK-ICS-R35. Aalto University School of Science and Technology, Espoo, Finland (2010) (This report is downloadable from ics.tkk.fi/en/research/publications).
6. Sun, H.L., Sun, D.J., Huang, J.P., Li, D.J., Xing, H.B.: Corpus for modern Chinese research. In: Luo, Z.S., Yuan, Y.L. (eds.) Studies in the Chinese language and characters in the era of computers, pp. 283-294. Tsinghua University Press, Beijing, China (1996).
7. Vesanto, J., Alhoniemi, E., Himberg, J., Kiviluoto, K., Parviainen, J.: Selforganizing map for data mining in Matlab: the SOM Toolbox. Simulation News Europe 25, 54 (1999) (The SOM Toolbox software package is downloadable from ics.tkk.fi/en/research/software).
8. Kohonen, T., Nieminen, I.T., Honkela, T.: On the quantization error in SOM vs. VQ: A critical and systematic study. In: Pŕncipe, J.C., Miikkulainen, R. (eds.) WSOM 2009. LNCS, vol. 5629, pp. 133-144. Springer, Heidelberg (2009)