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A Multi-Agent System for Detecting and Correcting 'Hidden' Spelling Errors in Arabic Texts

机译:用于检测和纠正阿拉伯语文本中“隐藏”拼写错误的多智能体系

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In this paper, we address the problem of detecting and correcting hidden spelling errors in Arabic texts. Hidden spelling errors are morphologically valid words and therefore they cannot be detected or corrected by conventional spell checking programs. In the work presented here, we investigate this kind of errors as they relate to the Arabic language. We start by proposing a classification of these errors in two main categories: syntactic and semantic, then we present our multi-agent system for hidden spelling errors detection and correction. The multi-agent architecture is justified by the need for collaboration, parallelism and competition, in addition to the need for information exchange between the different analysis phases. Finally, we describe the testing framework used to evaluate the system implemented.
机译:在本文中,我们解决了在阿拉伯语文本中检测和纠正隐藏拼写错误的问题。隐藏的拼写错误是形态学上有效的单词,因此无法通过传统的法术检查程序检测或纠正它们。在这里呈现的工作中,我们调查了与阿拉伯语相关的这种错误。我们首先提出两个主要类别中这些错误的分类:句法和语义,然后我们介绍了我们的多智能体系,以获取隐藏的拼写错误检测和校正。除了需要在不同分析阶段之间的信息交换之外,多智能架构是有必要的协作,并行性和竞争。最后,我们描述了用于评估实施系统的测试框架。

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