An efficient stop word elimination algorithm for Urdu language

Kamran Shaukat Dar, Ahmad Bin Shafat, Muhammad Umair Hassan
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引用次数: 9

Abstract

Stop words occur multiple times in a document and the occurrence of stop words have least semantic value in the document sentences. These words cover a noteworthy bundle of archives that have no semantic significance. So, the stop words ought to be removed for better language description. In this paper, we have proposed a proficient algorithm which will eliminate the Urdu document stop words. Many considerable efforts have been performed in the areas like natural language processing (NLP), stemming for Urdu language and sentence limit disambiguation. However, there is no such work available for Urdu language that can remove the stop words from an Urdu document. That is the motivation behind this work that we proposed stop words elimination algorithm from Urdu language documents. This is being carried out for the first time in Urdu language by our proposed algorithm.
一种有效的乌尔都语停止词消除算法
停止词在一个文档中出现多次,并且停止词的出现在文档句子中的语义价值最小。这些词涵盖了一堆值得注意的没有语义意义的档案。因此,为了更好地描述语言,应该删除停顿词。本文提出了一种消除乌尔都语文档停顿词的高效算法。在自然语言处理(NLP)、乌尔都语词干提取和句子限制消歧等方面已经做了大量的工作。然而,对于乌尔都语,没有这样的工作可以从乌尔都语文档中删除停止词。这就是我们提出乌尔都语文档停止词消除算法的动机。这是我们提出的算法第一次在乌尔都语中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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