【摘要】 文中首先给出了汉语基本名词短语（ｂａｓｅＮＰ）的形式化定义，并通过抽取ｂａｓｅＮＰ句法组成模板，显示了这个定义的可操作性．文中指出，句法组成模板只是识别ｂａｓｅＮＰ的必要条件，而非充要条件，仅靠句法组成模板并不能解决ｂａｓｅＮＰ识别中的边界模糊歧义和短语类型歧义问题．据此，把体现ｂａｓｅＮＰ内部组成的句法组成模板与体现上下文约束条件的Ｎ 元模型结合起来，形成了汉语ｂａｓｅＮＰ识别的新模型．实验证明，该模型的性能优于单纯基于词性标记的Ｎ 元模型更多还原

【Abstract】 A formal definition of Chinese baseNP is proposed in the present paper. The manipulatability of the definition is shown through the formulation of the Chinese baseNP annotation specification oriented for information processing and the extraction of the syntactic composition templates. It is pointed out that the syntactic composition templates are only necessary but not the sufficient condition for baseNP recognition, so the boundary ambiguity and phrase\|type ambiguity could not be solved depending merely on the syntactic composition templates. On the ground of this view, the basic templates embodying the baseNP composition and the N\|grams modeling the contextual constraints are organically incorporated into a new probabilistic model for Chinese baseNP recognition. The experiment shows that the model is superior to the N\|gram model based on part\|of\|speech information.更多还原