“…Literature [16] has questioned whether "gerund clauses" contribute to the grammar of Japanese conversation, and these three frequently encountered examples of Japanese conversation challenge "gerund" and the main "Japanese conversation". Literature [17] asked whether the distributed practice is better than the traditional procedural practice of grammatical knowledge, Japanese as the world's top ten mainstream languages, Japanese learners in the distributed practice and traditional procedural practice of grammatical knowledge of two models for statistical analysis.…”
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).
“…Literature [16] has questioned whether "gerund clauses" contribute to the grammar of Japanese conversation, and these three frequently encountered examples of Japanese conversation challenge "gerund" and the main "Japanese conversation". Literature [17] asked whether the distributed practice is better than the traditional procedural practice of grammatical knowledge, Japanese as the world's top ten mainstream languages, Japanese learners in the distributed practice and traditional procedural practice of grammatical knowledge of two models for statistical analysis.…”
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).
This study investigates how distance-invoked difficulty, proficiency level and cross-linguistic similarity affect error occurrences by analysing 240 English compositions from Chinese and Japanese learners of English as a foreign language (EFL). Dependency distance was used as a metric to measure distance-invoked difficulty and four major types of dependency relations were investigated. The findings reveal that low- and middle-level Chinese and Japanese EFL learners have higher error rates with long-distance dependency relations, but high-level learners can overcome the distance-invoked difficulty and make fewer errors. Chinese and Japanese EFL learners make more errors in long-distance adverbial and relative clauses than in short-distance ones, which are L1-dissimilar dependency relations. They make fewer errors in L1-similar relations, i.e., long-distance subject-predicate dependency relations. Japanese EFL learners, however, showed no significant differences in error rates between long- and short-distance predicate-object dependency relations. The results indicate the complex interaction between the EFL learners’ cognition, proficiency and L1.
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