Abstract：Due to the lack of descriptive mechanism for syntactic functional structure, the dependency grammar can not express all complex syntactic structures explicitly. In addition, few parsing model takes the restrictive information of modifiers' nesting level into account, though it is a common sense in pragmatics. To solve these problems, a generative binary combinational grammar (BCG) parsing model is proposed which incorporates the restrictive information. In this model, the construction of sentence is regarded as the combination of adjacent chunks according to their headwords. Moreover, the symbolic local priorities between the adjacent binary relations and the modifiers' nesting levels are used to constrain the generation of parsing trees. The BCG parsing model is constructed by converting the dependency treebank to the BCG form. Then, the syntactic relations, the local priorities and the parameters of the model are induced automatically. Experimental results show that the proposed model improves the parsing accuracy.
杨潇，马军，万建成. 基于局部优先和嵌套层次的二元组合语法分析模型*[J]. 模式识别与人工智能, 2009, 22(6): 833-840.
YANG Xiao, MA Jun, WAN Jian-Cheng. Binary Combinatorial Grammar Parsing Model Based on Local Priority and Nesting Level. , 2009, 22(6): 833-840.
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