Abstract: In this paper the use of rules and statistical methods of combining the structure of a prepositional phrase recognition algorithm for Chinese. First, according to preposition and prepositional phrase consisting of the right sector with the credibility of the template with automatic extraction of relations and relations with those with a prepositional phrase identification. After the POS-based statistical model of the ternary borders and rules of combination of the prepositional phrase to identify the other untreated. The adoption of 7323 prepositional phrase containing the corpus for cross-testing, accurate rate of 87,148 percent, the recall rate of 87,127 percent.

汉语介词短语的自动识别.pdf

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