Algorithm of Disambiguation and Matching of Chinese Word Segmentation in Connected Strategies Research

Article Preview

Abstract:

The Chinese Word Segmentation technology is belonged to the category of technology of natural language management. Academies which studying Chinese Word Segmentation are mostly Research institutions such as Tsinghua University, Peking University, Chinese Academy of science, Beijing Language And Culture University, Northeastern University, Research Institute of IBM, and Research Institute of Microsoft (China), etc. Firstly, the essay analyze and compare the measurements of operation complexity and Algorithm capability of Chinese Word Segmentation in the dimension of Lucene open source’s environment, and also technologies of Chinese grammar analysis used by Chinese Academy of science. We are going to put forward the algorithm of disambiguation and matching of Chinese Word Segmentation in connected strategies based on the studying of Cloud Computing and Parallel Computing.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

1702-1706

Citation:

Online since:

March 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Cao, Y. G, Cao Y. Z, Jin M. Z, Liu C., Information Retrieval Oriented Adaptive Chinese Word Segmentation System,, Journal of Software, vol.17, no.3, pp.356-363, (2006).

DOI: 10.1360/jos170356

Google Scholar

[2] Wang, P., Chen, G. Y., An, J. X. and Wang, J. L., Mobile Search Engine Principles and Practice,, China Machine Press, 2009.3.

Google Scholar

[3] Liu, Q., Zhang, H. P., Yu, H. K., and Cheng, X. Q., Chinese Lexical Analysis Using Cascaded Hidden Markov Model,, Journal of Computer Research and Development. vol. 41, no. 8, pp.1421-1429, (2004).

Google Scholar

[4] Lei, M., Liu, J. G., Wang, J. Y., and Chen, B. J., A Model for Dynamic Information Updating in Lexicon Based Search Engine,, Journal of Computer Research and Development. vol. 37, no. 10, pp.1265-1270, (2000).

Google Scholar