We present a method of dependency structure analysis for Chinese. The method is a variant of Yamada's work (Yamada, 2003). Our bottom-up parsing algorithm deterministically constructs a dependency structure for an input sentence. Support Vector Machines (SVMs) are utilized to determine the word dependency relations. Experimental evaluations on the CKIP Corpus show that the method is quite accurate on Chinese documents in several domains.
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