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Identifying the Writing Style of Bangla Language Using Natural Language Processing

机译:使用自然语言处理识别孟加拉语的写作风格

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Bangla is one of the 8th major spoken languages around the world and like other widely spoken languages, it is a very morphologically rich language. It has two styles, one is standard literary style, known as Sadhu Bhasha and the other one is a standard colloquial style which is known as Cholito Bhasha. Mixing both the styles in a written document is considered as a grammatical error in Bangla language known as Guruchondali Dosh. This research aims to develop an algorithm to identify the style of a Bangla paragraph i.e. whether it is in Sadhu Bhasha or Cholito Bhasha from a given Bangla paragraph input. It's a contribution towards finding the Goruchondali Dosh which is a common grammatical mistake in written Bangla language as it was observed that a number of research work for identifying Bangla grammar mistakes is not so notable whereas it is a common trend in other language researchers.
机译:孟加拉语是全球第八大主要语言之一,与其他广泛使用的语言一样,它是一种形态非常丰富的语言。它有两种风格,一种是标准的文学风格,被称为Sadhu Bhasha,另一种是一种标准的口语风格,被称为Cholito Bhasha。在书面文档中混合使用两种样式被认为是孟加拉语的Guruchondali Dosh语法错误。这项研究旨在开发一种算法,以根据给定的Bangla段落输入来识别Bangla段落的样式,即它是在Sadhu Bhasha还是Cholito Bhasha中。这是对找到Goruchondali Dosh的一种贡献,这是孟加拉语书面语言中常见的语法错误,因为据观察,用于识别孟加拉语语法错误的大量研究工作并不那么引人注目,而这是其他语言研究人员的普遍趋势。

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