RETRACTED: A recommendation method of Japanese vocabulary learning based on embedded system and data intelligent analysis

Abstract

The popularity of the Japan M- learning app to read and write only focuses on improving vocabulary. It is essential to improve vocabulary and readability, but it is also essential to foster Japan's communication. To provide new interactions for the learner as an alternative to the Japan of learning tools, speaking to the input of the concept of learning the application using M. Its primary purpose is to investigate how to speak to support mobile learning implementation. The embedded intelligent system analyzes the collected data, embedding can communicate with other systems; it is a computer with an Internet connection. Besides, these systems, experience, security, and connection can adjust itself based on the ability to learn from the remote monitoring and management and the current data. Including smart devices and embedded smart systems, it also contains such a complex artificial intelligence-based software system, a chat robot, interconnected collection of these devices as an expert system. The biggest challenge in advanced Japanese learning is a way of evaluating the accuracy of pronunciation and pronunciation. Data from the Japan International Exchange Foundation in Indonesia shows an unbalanced gap ratio between the availability of learning needs and the formal Japanese educational institutions. As replaces the Japanese learning tool, it will learn to input to speak to provide a new interactive concept to the user. Before checking whether the data has been entered correctly, the user, the mobile learning system, talks about some of the words and sentences in Japanese smartphones can speak.