DocumentCode :
459021
Title :
A Binary Combinatorial Grammar for Chinese and Its Parsing Algorithm
Author :
Yang, Xiao ; Wan, Jiancheng ; Qiao, Yongbo
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan
Volume :
2
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
761
Lastpage :
766
Abstract :
In order to resolve the problem of low accuracy in Chinese natural language parsing introduced by the lack of complete grammar rules set, a binary combinatorial grammar (BCG) for describing natural language through binary relations between constituents is proposed, which can depict complicated syntactic structures by a very small number of binary relations between head words and their hierarchical combinations. Based on the binary combinatorial grammar, a parsing algorithm for Chinese natural language is proposed which takes operator precedence computing as its basic ideas. Four basic operations and one extended operation are defined in the algorithm. The order of combinatorial operations in parsing is controlled according to the priority between adjacent binary relations, and eventually the recognition of chunks and whole syntactic structures is achieved. The validity of the grammar and the parsing algorithm is proved by the analysis of the space complexity and the time complexity
Keywords :
combinatorial mathematics; computational complexity; grammars; natural language processing; Chinese natural language parsing; binary combinatorial grammar; binary relations; grammar rules; parsing algorithm; space complexity; syntactic structures; time complexity; Algorithm design and analysis; Application software; Computer science; Context modeling; Information retrieval; Magnetic heads; Natural language processing; Natural languages; Space technology; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.253708
Filename :
4021760
Link To Document :
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