Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 22, 2023


Pages


DOI

Article

The Construction of a Grammatical System for Japanese Linguistics in the Context of Big Data

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Authors

Lei Zhao Affiliation:
School of Foreign Languages, Inner Mongolia Minzu University, Tongliao, Inner Mongolia, 028000, China.


Abstract

This paper first outlines the concept of teaching Japanese grammar according to the Japanese language talent cultivation standard and the current dilemma in teaching Japanese language in colleges and universities. Secondly, on the basis of big data technology, considering the effective availability of the initial data of Japanese grammar, it is necessary to preprocess the language grammar learning data and, at the same time, according to the fuzzy comprehensive evaluation, determine the Japanese grammar evaluation affiliation function. Then, for the problem of an incomplete and inaccurate traditional fuzzy comprehensive evaluation, they proposed to construct a comprehensive evaluation model of the Japanese linguistics grammar system based on the bat algorithm and carried out research and analysis on the Japanese linguistics grammar system. The results show that on the evaluation model, the comprehensive evaluation score of the Japanese language grammar system is C=2.65, which belongs to the E2 level. On the statistical analysis, the mean value of all the scores of the concise class was higher than that of the standard Japanese class, and all of them showed significant differences (p=0.002, 0.000, and 0.047, all less than 0.05).


Keywords

Bat algorithm, Affiliation function, Japanese linguistics, Grammatical system, Comprehensive evaluation model, Evaluation indexes, 68P05


Citation

Zhao, L. (2023). The construction of a grammatical system for japanese linguistics in the context of big data. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01205

Published by: Engineering Journals

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