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Titles
English : A Chart Parser for Analyzing Modern Standard Arabic
Abstract The parsing of Arabic sentence is a necessary prerequisite for many natural language processing applications such as machine translation and information retrieval. In this paper we report our attempt to develop an efficient chart parser for Analyzing Modern Standard Arabic (MSA) sentence. From a practical point of view, the parser is able to satisfy syntactic constraints reducing parsing ambiguity. Lexical semantic features are also used to disambiguate the sentence structure. We explain also an Arabic morphological analyzer based on ATN technique. Both the Arabic parser and the Arabic morphological analyzer are implemented in Prolog. The linguistic rules were acquired from a set of sentences from MSA sentence in the Agriculture domain.
URL
Publication year 2003
Organization Name
    Central Laboratory for Agricultural Expert System (CLAES)
Country United States
City New Orleans, Louisiana
serial title the MT Summit IX Workshop on Machine Translation for Semitic Languages: Issues and Approaches
Author(s) from ARC
External authors (outside ARC)
    Eman Othman
Agris Categories Documentation and information
Proposed Agrovoc Arabic parser;
Publication Type Conference/Workshop

 
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