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Identification of Chinese Verb Nominalization Using Support Vector Machine

机译:支持向量机识别汉语动词名词化

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摘要

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.
机译:名词化是跨语言的高生产率现象。名词化过程将动词谓词转换为引用表达。名词化的识别对中文处理提出了很大的挑战,因为动词名词化及其对应的谓词之间没有形态差异。在本文中,我们应用支持向量机从文本中识别名词化。我们广泛地探索识别任务的各种标称特定分类功能。其中,许多文献首先被介绍。实验结果表明,该方法是有效的。

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