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This paper presents an approach to utilize a Chinese machine-readable dictionary to acquire a conceptual network with five semantic relations; and then, the application of this conceptual resource is discussed text retrieval. Because of the low accuracy of current Chinese parser, our method is different from other traditional dictionary processing that need parsing the explanations of words when constructing this noun-based conceptual network. This construction is designed to be a new three-step process by statistical learning mechanism. This method acquires a relatively satisfying conceptual network based on Chinese nouns. In its application, this network is available for providing linkage-based knowledge for text retrieval.