Coordinated Development of Languages in Multiethnic Inhabited Areas by Big Data Algorithm

Author:

Wang Tianyi123ORCID

Affiliation:

1. Institute of Ethnology, Northeastern University, Qinhuangdao 066004, Hebei, China

2. Hulunbuir University, Hulunbuir 021000, Inner Mongolia, China

3. Department of Historican and Pakistan Studies, University of Punjab, Lahore 54896, Punjab, Pakistan

Abstract

The coordinated development of ethnic languages has always been an important task in the construction of ethnic culture. The rapid social and cultural innovation has had a certain impact on the language views of various ethnic groups, and the phenomenon of ethnic languages being endangered has become more and more serious. In order to alleviate this phenomenon, it is urgent to analyze and study the coordinated development of languages in multiethnic areas. However, in view of the current field of language development analysis, the analysis methods used are often traditional field analysis and manual calculation, which not only affects the efficiency of analysis work but also makes it impossible to conduct in-depth research. This paper studies the coordinated development of languages in multiethnic areas in combination with big data algorithms. On the basis of fully understanding the factors affecting language development, the cluster analysis in big data algorithms is used to study the language development of a multiethnic area. The experimental results show that the proportion of bilingual and multilingual people in this area is 27.01% and 20.11% in formal occasions. Combined with the actual investigation, the accuracy of these data is high. The popularization of big data algorithms in the current stage of language coordination development analysis can effectively eliminate interfering factors, make accurate judgments based on the most relevant information and data, and provide certain decisions and suggestions.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference28 articles.

1. About the value of the national language of science (part no. 2)

2. Implementation Challenges of National Language Policy in Nigeria: The Roles of the Indigenous Languages

3. National language and national media: problems of popularization and development;M. H. Fatykhova;Opción,2018

4. Medium of instruction in school: the indigenous language, the national language or the official language? A case study from multilingual deep rural Kenya;S. K. Iren;Journal of African Languages and Linguistics,2018

5. Mobile cloud computing model and big data analysis for healthcare applications;L. A. Tawalbeh;IEEE Access,2017

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