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Ranking of Bangla word graph using graph based ranking algorithms

机译：使用基于图的排名算法对孟加拉语单词图进行排名

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摘要

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：单词排名是总结文本或检索信息的重要方法。词图是一种将句子或文本中的单词表示为图的顶点并显示单词之间的关系的方法。确定单词图中单词的相对重要性也很有用。在这项研究中，使用各种基于图的排名算法来计算代表单词图中的文本的孟加拉语单词的孟加拉语单词排名。缺少标准的孟加拉语单词数据库。在这项研究中，使用了印度语POS标记语料库，该语料库具有大量孟加拉语单词，作为句子及其语音标记的一部分。为了将单词图应用于各种基于图的排名算法，应用了几种标准程序。预处理步骤在每个单词图中完成，然后应用于基于图的排名算法，以在这些算法之间进行比较。本文阐述了计算孟加拉语单词排名的整个过程，包括从文本构造单词图的过程。对真实数据的实验结果分析揭示了根据F测度的每个排序算法的准确性。

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