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    <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.</abstract>
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%0 Conference Proceedings
%T A chart parser for analyzing modern standard Arabic sentence
%A Othman, Eman
%A Shaalan, Khaled
%A Rafea, Ahmed
%S Workshop on Machine Translation for Semitic languages: issues and approaches
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F othman-etal-2003-chart
%X 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.
%U https://aclanthology.org/2003.mtsummit-semit.10

Markdown (Informal)

[A chart parser for analyzing modern standard Arabic sentence](https://aclanthology.org/2003.mtsummit-semit.10) (Othman et al., MTSummit 2003)

• A chart parser for analyzing modern standard Arabic sentence (Othman et al., MTSummit 2003)

ACL

• Eman Othman, Khaled Shaalan, and Ahmed Rafea. 2003. A chart parser for analyzing modern standard Arabic sentence. In Workshop on Machine Translation for Semitic languages: issues and approaches, New Orleans, USA.