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Ranking of Bangla word graph using graph based ranking algorithms

机译:使用基于曲线图的排名算法排名Bangla字图

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Ranking words is an important way to summarize a text or to retrieve information. Word graph is a way to represent the words of a sentence or a text as vertices of a graph and to show the relationship among the words. It is also useful to determine the relative importance of a word among the word graph. In this research, the ranking of Bangla words are calculated representing Bangla words from a text in a word graph using various graph based ranking algorithms. There is a lack of standard Bangla word database. In this research, Indian Language POS-tag Corpora is used that has a rich collection of Bangla words as a form of sentences with their parts of speech tag. For applying a word graph to various graph based ranking algorithms, several standard procedures are applied. The preprocessing steps are done in every word graph and then applied to graph based ranking algorithms to make a comparison among these algorithms. This paper illustrate the entire procedure of calculating the ranking of Bangla words including the construction of word graph from text. Experimental result analysis on real data reveals the accuracy of each ranking algorithms in terms of F measure.
机译:排名单词是总结文本或检索信息的重要途径。 Word图形是一种代表句子的单词或文本的方式作为图形的顶点,并显示单词之间的关系。确定单词图中的单词的相对重要性也很有用。在这项研究中,使用各种基于图形的排名算法计算孟加拉词的排名代表了从单词图中的文本中的孟加拉词。缺乏标准的Bangla Word数据库。在这项研究中,印度语言POS-TAG Coress的用途,它具有丰富的Bangla单词作为一种句子的句子,他们的语音标签。为了将单词图应用于基于图形的等级算法,应用了几个标准过程。预处理步骤在每个字图中完成,然后应用于基于曲线图的排名算法,以便在这些算法之间进行比较。本文说明了计算孟加拉词排名的整个过程,包括从文本中建造字图。实验结果对实际数据的分析显示了在F度量方面的每个排名算法的准确性。

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