Title of article :
A Top-Down Chart Parser for Analyzing Arabic Sentences
Author/Authors :
Al-Taani, Ahmad Yarmouk University - Department of Computer Sciences, Jordan , Msallam, Mohammed Al-Aqsa University - Department of Computer Science, Palestine , Wedian, Sana Yarmouk University - department of Computer Science, Jordan
From page :
109
To page :
116
Abstract :
Parsing of Arabic sentences is a necessary mechanism for many natural language processing applications such as machine translation; question answering, knowledge extraction and information retrieval. In this study, we present a top-down chart parser for parsing simple Arabic sentences, including nominal and verbal sentences within specific domain Arabic grammar. We used the Context Free Grammar (CFGs) to represent the Arabic grammar. We first developed the Arabic grammar rules that give precise description of grammatical sentences. Then, we implemented the parser that assigns grammatical structure to the input sentence. The parser is tested on sentences extracted from real documents. Experimental results showed the effeteness of the proposed top-down chart parser for parsing modern standard Arabic sentences. From a practical perspective, the parser is able to satisfy syntactic constraints and reduce parsing ambiguity.
Keywords :
NLP , Parser , chart parsing , top , down chart parser , context free grammar , syntactic structures
Journal title :
The International Arab Journal of Information Technology (IAJIT)
Journal title :
The International Arab Journal of Information Technology (IAJIT)
Record number :
2543825
Link To Document :
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