Implementation of Language Appropriateness in Intercultural Communication Based on Distributed Control System

Author:

Liu Li1,Xue Duan12ORCID,Zhang Yijia1,Huo Xingying1ORCID

Affiliation:

1. Liupanshui Normal University, Liupanshui 553004, China

2. PLA Army Engineering University, Nanjing 210007, China

Abstract

In recent years, with the increasingly close international communication, the importance of intercultural communication language has become more and more important. Proficiently mastering the appropriateness of intercultural communication language is an important part of national etiquette, which can represent the self-cultivation of a country. However, in reality, many students cannot master language appropriateness very well. Therefore, it is necessary to retrieve and classify intercultural communication languages based on distributed control systems, so as to improve language appropriateness and national comprehensive strength. This study proposed a language processing method based on distributed computing, which solved the problems of a large amount of computation and low accuracy in traditional language processing methods and simply designed a distributed control system, which could process language for intercultural communication. The results of this study showed that the language appropriateness score of the respondents was 53 points before the system developed in this study was used. After using the system developed in this study to retrieve and correct the language errors, the language appropriateness score of the respondents was 95 points, which was 42 points higher and also showed that the system developed in this study could effectively improve Language appropriateness.

Funder

Guizhou Provincial Social Science Project

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 1 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

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