International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 70 - Number 17 |
Year of Publication: 2013 |
Authors: Mehrnoosh Bazrafkan, Ali Broumandnia |
10.5120/12157-7943 |
Mehrnoosh Bazrafkan, Ali Broumandnia . A New Top-Down Context-Free Parsing for Syntactic Pattern Recognition. International Journal of Computer Applications. 70, 17 ( May 2013), 9-12. DOI=10.5120/12157-7943
The numerous different mathematical methods used to solve pattern recognition snags may be assembled into two universal approaches:the decision-theoretic approach and the syntactic (structural) approach. In this paper,at first syntactic pattern recognition method and formal grammars are described and then has been investigated one of the techniques in syntactic pattern recognition called top –down tabular parser known as Earley's algorithm Earley's tabular parser is one of the methods of context -free grammar parsing for syntactic pattern recognition. Earley's algorithm uses array data structure for implementing, which is the main problemand for this reasontakes a lots of time,searching in array and grammar parsing,and wasting lots of memory. In order to solve these problems and most important,the cubic time complexity,in this article,a new algorithm has been introduced,which reduces wasting the memory to zero, with using linked list data structure. Also, withthe changes in the implementation and performance of the algorithm,cubic time complexity has transformed into O (n*R) order.