基于语言研究的孟加拉语COVID-19语料库创建

Prasanta Mandal, Apurbalal Senapati
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引用次数: 0

摘要

语料库是机器可读文本的大集合,理想情况下,它应该代表一种语言。语料库在许多自然语言处理和语言学研究中起着重要的作用。语料库的开发本身就是对语言处理资源建设的重大贡献。语料库在语言学研究中发挥着重要作用,在词性标注、句法分析、语义标注、并行语料库等NLP任务中也发挥着重要作用。在不同语言的文献中有大量的语料库,其中大多数都是为了特定的目的而创建的。因此,很明显,研究人员不能为他们的特定任务使用任何语料库。本文还重点介绍了一种自动化技术来创建COVID-19语料库,专门用于由于大流行情况而在语言学方面的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A COVID-19 Corpus Creation for Bengali: In the Context of Language Study
A corpus is a large collection of machine-readable texts, ideally, that should be representative of a Language. Corpus plays an important role in several natural language processing (NLP) and linguistic research. The corpus development itself is a substantial contribution to the resource building of language processing. The corpora play an important role in linguistic study as well as in several NLP tasks like Part-Of-Speech (POS) tagging, Parsing, Semantic tagging, in the parallel corpora, etc. There are numerous corpora in the literature of different languages and most of them are created for a specific purpose. Hence it is obvious that a researcher cannot use any corpus for their particular task. This paper also focuses on an automated technique to create a COVID-19 corpus dedicated to the research in linguistic aspects because of the pandemic situation.
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