Erschienen: 09.03.2009 Abbildung von Li / Mollá-Aliod | Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy | 2009 | 22nd International Conference,...

Li / Mollá-Aliod

Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy

22nd International Conference, ICCPOL 2009, Hong Kong, March 26-27, 2009. Proceedings

lieferbar (3-5 Tage)

2009. Buch. xiv, 404 S. Bibliographien. Softcover

Springer. ISBN 978-3-642-00830-6

Format (B x L): 15,5 x 23,5 cm

Gewicht: 640 g

In englischer Sprache


The International Conference on the Computer Processing of Oriental L- guages(ICCPOL)seriesishostedbytheChineseandOrientalLanguagesSociety (COLCS),aninternationalsocietyfoundedin1975.RecentICCPOLeventshave been held in Hong Kong (1997), Tokushima, Japan (1999), Seoul, Korea (2001), Shenyang, China (2003) and Singapore (2006). This volume presents the proceedings of the 22nd International Conference ontheComputerProcessingofOrientalLanguages(ICCPOL2009)heldinHong Kong, March 26-27, 2009. We received 63 submissions and all the papers went through a blind review process by members of the Program Committee. After careful discussion, 25 of them were selected for oral presentation and 15 for poster presentation. The accepted papers covered a variety of topics in natural language processing and its applications, including word segmentation, phrase and term extraction, chunking and parsing, semantic labelling, opinion mining, ontology construction, machine translation, information extraction, document summarization and so on. On behalf of the Program Committee, we would like to thank all authors of submitted papers for their support. We wish to extend our appreciation to the Program Committee members and additional external reviewers for their tremendous e?ort and excellent reviews. We gratefully acknowledge the Or- nizing Committee and Publication Committee members for their generous c- tribution to the success of the conference. We also thank the Asian Federation of Natural Language Processing (AFNLP), the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, the Department of Systems - gineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, and the Centre for Language Technology, Macquarie University, Australia for their valuable support.


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