Linguistic Taboos and Euphemisms in Nepali

Author:

Niraula Nobal B.1ORCID,Dulal Saurab2,Koirala Diwa1

Affiliation:

1. Nowa Lab, Madison, Alabama, USA

2. The University of Memphis, Memphis, Tennessee, USA

Abstract

Languages across the world have words, phrases, and behaviors—the taboos—that are avoided in public communication considering them as obscene or disturbing to the social, religious, and ethical values of society. However, people deliberately use these linguistic taboos and other language constructs to make hurtful, derogatory, and obscene comments. It is nearly impossible to construct a universal set of offensive or taboo terms because offensiveness is determined entirely by different factors such as socio-physical setting, speaker-listener relationship, and word choices. In this article, we present a detailed corpus-based study of offensive language in Nepali. We identify and describe more than 18 different categories of linguistic offenses including politics, religion, race, and sex. We discuss 12 common euphemisms, such as synonym, metaphor, and circumlocution. In addition, we introduce a manually constructed dataset of more than 1,000 offensive and taboo terms popular among contemporary speakers. We describe the first experiments that provide baseline results in detecting offensive language in Nepali. This in-depth study of offensive language and resource will provide a foundation for several downstream tasks, such as offensive language detection and language learning.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference46 articles.

1. Taboos and their origins;Allan Keith;Forbidden Words: Taboo and the Censoring of Language.,2006

2. Segun Taofeek Aroyehun and Alexander Gelbukh. 2018. Aggression detection in social media: Using deep neural networks, data augmentation, and pseudo labeling. In Proceedings of the 1st Workshop on Trolling, Aggression, and Cyberbullying (TRAC’18). 90–97.

3. Arup Baruah, Kaushik Das, Ferdous Barbhuiya, and Kuntal Dey. 2020. Aggression identification in English, Hindi and Bangla text using BERT, RoBERTa and SVM. In Proceedings of the 2nd Workshop on Trolling, Aggression, and Cyberbullying (TRAC’20). 76–82.

4. Linguistic Taboos in Karonese Culture

5. Linguistic taboos in the Pahari culture: A sociolinguistic analysis;Behzad Anwar;ARIEL—An International Research Journal of English Language and Literature,2017

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-07-12

2. Identification of domain-specific euphemistic tweets using clustering;International Journal of Information Technology;2023-11-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3