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Chinese information retrieval process is somewhat different from the English information retrieval process. In consideration of the existing problems and difficulties of Chinese language information processing, Hibernate search was introduced to exploit information retrieval engine in this paper. A Chinese language analyzer based on the word stock was adopted to process Chinese language information,...
With the widespread of the Internet, great research interests are being shown in Chinese language information retrieval in recent years. The absence of word boundaries in Chinese language makes Chinese information retrieval (IR) different to European IR. In order to apply traditional IR approaches to Chinese language, sentences have to be segmented into words first. Word segmentation is playing a...
Clustering is an effective way to organize Web search results, which allows users to navigate into relevant documents quickly. Traditional clustering techniques are inadequate to Chinese search results and do not generated clusters with highly readable names. In this paper, we propose a new method to clustering Web search results which is based on interactive suffix tree algorithm (ISTC). This method...
It is essential to identify terms that are used as index units in the processing of Chinese documents and queries in IR. In this paper new kinds of hybrid index are proposed, which combine words and bigrams. This kind of hybrid index can reduce the impact of out-of-vocabulary and segmentation ambiguity for Chinese IR, because the dictionary is applied to detect segmentation ambiguities in a flexible...
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