Open University Chinese Language and Literature Teaching Model Based on NLP Technology and Mobile Edge Computing

Author:

Liu Yan1ORCID

Affiliation:

1. Henan Finance University, Zhengzhou 410000, China

Abstract

With the further improvement of comprehensive national strength, both cultural soft power and international status have increased significantly. The Chinese language has also become one of the languages eagerly studied in all countries in the world. However, the teaching resources of Chinese as a foreign language are far from enough to meet the rapid growth of learning needs. With the continuous improvement of the network environment of high-performance, low-latency, and high-bandwidth mobile edge computing, using computer network technology to assist Chinese language learning is an effective way to meet the needs. Under this circumstance, this paper proposed to design and build a Chinese language learning system based on NLP (natural language processing) technology. The built system modules could be roughly divided into three parts: the basic module of the system, the learning module, and the tool module combined with NLP technology. And, through the rational use of these three modules, it provided learners with the basic teaching of the Chinese language and also collected a large number of relevant documents on the Chinese language and culture through the system, which was more convenient for learners to learn. Research showed that the learning system basically met the learning needs. According to the data survey on the use of international students, more than 90% of the international students who have used the system believed that the content expressed by the learning system was clear and scientific. The results showed that the design of the Chinese learning system met the learning needs of learners.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference30 articles.

1. Multi-task Fuzzy Clustering–Based Multi-task TSK Fuzzy System for Text Sentiment Classification

2. Mobile-technology-induced learning strategies: Chinese university EFL students learning English in an emerging context;C. Gao;ReCall,2020

3. Exploring multimedia, mobile learning, and place-based learning in linguacultural education;Y. Han;Language, Learning and Technology,2019

4. Neuromemristive Circuits for Edge Computing: A Review

5. Building A scalable database driven reverse medical dictionary using NLP techniques;P. Tripathi;Advances in Computational Sciences and Technology,2017

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