2012
DOI: 10.5120/8399-2167
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Context-Free Grammar Analysis for Arabic Sentences

Abstract: This paper presents a simple parser to parse Arabic sentences. The aim of this parser is to check whether the syntax of an Arabic sentence is grammatically correct or not by constructing new efficient Context-Free Grammar that makes Top-Down technique much valuable. A set of experiments were ran on a dataset contains 150 Arabic sentence. The system achieved an average accuracy of 95%.

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Cited by 12 publications
(9 citation statements)
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“…Further research may focus on resolving ambiguity for a large dataset of Arabic sentences in correspondence with [18]. Future research may also work on the expansion of the developed CFG by [8] in order to work with multiple sentences in Arabic. In accordance with [10], researchers may also work on developing an Arabic parser that takes a free Arabic sentence as input and produce the corresponding parsed tree in a GUI format.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Further research may focus on resolving ambiguity for a large dataset of Arabic sentences in correspondence with [18]. Future research may also work on the expansion of the developed CFG by [8] in order to work with multiple sentences in Arabic. In accordance with [10], researchers may also work on developing an Arabic parser that takes a free Arabic sentence as input and produce the corresponding parsed tree in a GUI format.…”
Section: Resultsmentioning
confidence: 99%
“…[18] has worked on resolving ambiguity for Arabic, however, this study has focused on limited categories of ambiguity and examined the system performance on small datasets. [8] has developed a parser system for parsing Arabic sentences, however, some sentences have not been parsed properly due to the reason that some of these sentences couldn't match the proper production rule. [10] developed a system that parses Modern Standard Arabic (MSA) sentences through the use of treebank resources with relatively high score results.…”
Section: Resultsmentioning
confidence: 99%
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“…Parsers based on machine learning can be grouped into two main categories: rule-based systems [8][9][10] and systems using statistical approaches [11]. Before presenting the main parsers developed for the Arabic language, we will recall two grammars used by these parsers.…”
Section: State Of the Artmentioning
confidence: 99%