Document (#29707)

Author

Huang, X.
Robertson, S.E.

Title

Application of probilistic methods to Chinese text retrieval

Source

Journal of documentation. 53(1997) no.1, S.74-79

Year

1997

Abstract

Discusses the use of text retrieval methods based on the probabilistic model with Chinese language material. Since Chinese text has no natural word boundaries, either a dictionary based word segmentation method must be applied to the text, or indexing and searching must be done in terms of single Chinese characters. In either case, it becomes important to have a good way of dealing with phrases or contoguous strings of characters; the probabilistic model does not at present have such a facility. Proposes some ad hoc modifications of the probabilistic weighting function and matching method for this purpose

Content

Vgl. auch unter: http://www.emeraldinsight.com/10.1108/EUM0000000007193.

Footnote

Contribution to a thematic issue on Okapi and information retrieval research

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4. Wang, F.L.; Yang, C.C.: Mining Web data for Chinese segmentation (2007) 0.41

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5. Kwok, K.L.: Employing multiple representations for Chinese information retrieval (1999) 0.39

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