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This paper proposes a novel Chinese syntactic parsing model based on semantic class, which is a variant of normal lexicalized statistical model. It attempts to make use of the syntactic and semantic similarity between Chinese words and then produces a more knowledgeable estimate of the probability of grammar rules. A simple but effective unsupervised method is designed to determine the proper semantic...
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