Nominalization is a highly productive phenomenon across languages. The process of nominalization transforms a verb predicate to a referential expression. Identification of nominalizations presents a big challenge to Chinese language processing because there is no morphological difference between a verb nominalization and its corresponding verb predicate. In this paper, we apply a support vector machine to identify nominalizaitons from text. We explore extensively the various nominalization specific classification features for the identification task. Among which, many are first introduced in the literature. The experimental result shows that our method is very effective.
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