Study of Intelligent Wireless Network Management in the Context of Artificial Intelligence for the Improvement of Chinese Language Mandarin Test Training Programmes.

Abstract

One of the most prominent ways of communication between people is through language, which plays a significant role in expressing thoughts. Different ways of expressing a language can be through speech, writing, signing, or gesture. Each country has their own traditional language and they are getting upgraded with technology in a complex environment. The country of China is termed as Chinese and they follow a dialect named Putonghua. Besides this Putonghua, the people follow different dialects, but this Putonghua is considered the official dialect. Also, the Putonghua Proficiency Test is to test the fluency of Chinese-speaking skills. In the traditional system, the test is conducted by the authorities manually. This process will be difficult when multiple people appear for the test, and in some circumstances, complex situations will arise. Hence, technological advancement can be leveraged to simplify the processes. In this research, Chinese language learning and the Putonghua Test were performed with the implementation of the Deep Learning (DL) model. This process involves the design of a DL model for mobile phones and training the model according to the application. Later, the concept is implemented through intelligent wireless network communication for learning and testing of the language. LIDA is implemented in this research work to train the system with DL. The main functionality of LIDA is template matching, which is required for testing the proficiency of the Chinese language by the candidate in PPT. When the new LIDA model is compared to the existing Vector Spaced Model (VSM), it is found that the LIDA achieves 98.67% of the test accuracy.