The Development and Teaching Application of Japanese Peripheral Language Phenomenon Based on Big Data Corpus

Author:

Wei Yi1ORCID

Affiliation:

1. School of Foreign Languages and International Education, Chengdu Technological University, Chengdu611730, Sichuang, China.

Abstract

Since the introduction of the concept of big data corpus into language analysis, many scholars have conducted research on Japanese big data corpus, especially the subject, from different language views and perspectives, and have drawn many valuable conclusions. However, due to scholars' different theories and different thinking modes, their understanding of the Japanese big data corpus is still quite different. The seminar teaching method, as a teaching mode for the cultivation of innovative talents in Japanese peripheral languages, has distinctive features such as interactivity, democracy, motivation, and extension. It has been widely used in postgraduate and undergraduate courses at home and abroad and applied to A wide range of disciplines. Especially in Japan, each university has Seminar courses. Because of its strong practicality, it is conducive to cultivating students' independent learning ability, organization and coordination ability, and communication ability, so whether it can be applied and promoted in the teaching of Japanese peripheral languages, this research is carried out. Although experts have always been committed to the innovation of Japanese teaching, the advancement of teaching materials, and the continuous innovation of design, they also need the teaching practice and experimentation of front-line teachers. After years of practice in basic Japanese teaching by generations of teachers, we still encounter this problem: students cannot use the language fluently, they can only memorize words, grammar, and the usage of some fixed terms by rote; Some students with strong writing ability are not strong in conversation and expression. According to these problems in teaching, the author found that students could not use language well, probably because they did not have the awareness and desire to communicate. Sometimes the single teaching method and the boring teaching content make students uninterested in learning Japanese, and the large number of pseudonyms, Chinese characters, and complex grammatical structures make students dazzled. The experimental results show that the new teaching method proposed by the experimental model is suitable for the learning of Japanese peripheral languages, which improves the student's learning and thinking ability, which proves that the optimized NN-SLVM model is good.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

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