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A Lightweight System for Correction of Arabic Derived Words

机译:轻量级的阿拉伯语衍生词校正

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In this paper, we address the lexicon insufficient problem used in the automatic spell checker. In order to solve that deficiency, we developed an approach that aims to correct the derived words, considering that the most Arabic words are derived ones by adjusting the Levenshtein algorithm to our need. This method is based on a corpus constituted of surface patterns and roots characterized by a scaled down size compared to conventional approaches The proposed method reduced the execution time while maintaining the highest correction rate.
机译:在本文中,我们解决了自动拼写检查器中使用的词典不足问题。为了解决这一不足,我们开发了一种旨在纠正派生单词的方法,考虑到大多数阿拉伯单词都是通过根据需要调整Levenshtein算法来派生单词的。该方法基于由表面图案和根组成的语料库,与传统方法相比,特征在于按比例缩小尺寸。提出的方法在保持最高校正率的同时减少了执行时间。

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