Exploration of the ideal sanskrit grammar for natural language processing: An analysis of laukik and Vedic Sanskrit

Abhimanyu Rao
{"title":"Exploration of the ideal sanskrit grammar for natural language processing: An analysis of laukik and Vedic Sanskrit","authors":"Abhimanyu Rao","doi":"10.22271/23947519.2023.v9.i4b.2179","DOIUrl":null,"url":null,"abstract":"Prior to the writing of this paper, there has been a lot of research into the applicability of Sanskrit as a language for programming. This further expanded into research about how applicable it is for Natural Language Processing (NLP). Reasons cited include its syntax and almost mathematical grammar, along with its lack of exceptions. This made Sanskrit a major candidate in the field of natural language processing. However, since then, research in the field has not progressed further, and we are yet to see Sanskrit being used in natural language processing. Furthermore, Sanskrit is a language with a rich history, dating back several thousand years, and it has evolved a lot since its conception. This gave way to even more possibilities of the usage of Sanskrit, since there were ancient and modern forms of the language. Therefore, researching the ideal version of Sanskrit for usage in Natural Language processing was chosen as a topic, and Vedic(ancient) and Laukik(modern) versions of the language were compared. After conducting research, it was found that Laukik Sanskrit seems to be a more refined version of the language. It has eliminated several ambiguities, and streamlined the grammar. This led to the belief that Laukik Sanskrit is more suitable for Natural Language Processing.","PeriodicalId":345811,"journal":{"name":"International Journal of Sanskrit Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sanskrit Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22271/23947519.2023.v9.i4b.2179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Prior to the writing of this paper, there has been a lot of research into the applicability of Sanskrit as a language for programming. This further expanded into research about how applicable it is for Natural Language Processing (NLP). Reasons cited include its syntax and almost mathematical grammar, along with its lack of exceptions. This made Sanskrit a major candidate in the field of natural language processing. However, since then, research in the field has not progressed further, and we are yet to see Sanskrit being used in natural language processing. Furthermore, Sanskrit is a language with a rich history, dating back several thousand years, and it has evolved a lot since its conception. This gave way to even more possibilities of the usage of Sanskrit, since there were ancient and modern forms of the language. Therefore, researching the ideal version of Sanskrit for usage in Natural Language processing was chosen as a topic, and Vedic(ancient) and Laukik(modern) versions of the language were compared. After conducting research, it was found that Laukik Sanskrit seems to be a more refined version of the language. It has eliminated several ambiguities, and streamlined the grammar. This led to the belief that Laukik Sanskrit is more suitable for Natural Language Processing.
探索自然语言处理的理想梵语语法:对劳契克语和吠陀语的分析
在撰写本文之前,已经有很多关于梵语作为编程语言的适用性的研究。这进一步扩展到研究如何适用于自然语言处理(NLP)。被引用的原因包括它的语法和几乎数学的语法,以及它缺乏例外。这使得梵语成为自然语言处理领域的主要候选语言。然而,从那时起,该领域的研究没有进一步进展,我们还没有看到梵语被用于自然语言处理。此外,梵语是一门有着丰富历史的语言,可以追溯到几千年前,自它的概念产生以来,它已经发展了很多。这给梵语的使用提供了更多的可能性,因为这种语言有古代和现代的形式。因此,研究自然语言处理中使用的梵语的理想版本是一个主题,并比较了吠陀语(古代)和劳基克语(现代)的语言版本。经过研究,人们发现劳基克梵语似乎是一种更精致的语言。它消除了几个歧义,并简化了语法。这导致人们相信,劳基克梵语更适合自然语言处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信