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Software development for identifying Persian text similarity

机译:用于识别波斯文字相似性的软件开发

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The vast span of nouns, words and verbs in Persian language and the availability of information in all fields in the form of paper, book and internet arises the need of a system to compare texts and evaluate their similarities. In this paper a system has been presented for comparing the text and determining the degree of Persian (Farsi) text similarities. This system uses TF-IDF method to give weight to sentences. Moreover, the roots of the nouns have been found and identical score has been given to synonyms and word families. The results gained from implementation indicate that the proposed system has a desired efficiency in comparing short texts.
机译:波斯语中名词,单词和动词的范围很广,并且在纸,书和互联网等形式的所有领域中都有信息的可用性,因此需要一种系统来比较文本并评估其相似性。在本文中,提出了一种用于比较文本并确定波斯语(波斯语)文本相似度的系统。该系统使用TF-IDF方法加权句子。而且,已经找到了名词的根,并且对同义词和词族给予了相同的分数。从实施中获得的结果表明,所提出的系统在比较短文本方面具有期望的效率。

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