<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the deepening of Sino-Japanese economic and trade cooperation, the demand for enterprises for Japanese intercultural communication talents is increasing. In this paper, with the assistance of artificial intelligence, we constructed an innovative teaching mode of automatic association of Japanese expressions based on natural language processing technology and semantic analysis model of Japanese Literature, which deepens students’ understanding, memorization, and application of Japanese vocabulary by dispersing and associating the cultural context of Japanese Literature. The semantic similarity calculation parses participles and morphemes in Literature to find the vocabulary that can be substituted for the specified objects and form new example sentences. Finally, through the specific application of the innovative teaching mode by the Japanese language program of University X, the impact of the mode on the cultivation of students’ intercultural communicative competence was explored. The results show that the before-and-after difference in ICC competence in the class taught with the innovative mode is -10.134, while the before-and-after difference in the class prepared with the traditional mode is only -1.012, indicating that the proposed creative reform teaching mode has a pronounced effect on the cultivation of students’ intercultural communicative competence. This study realizes the digital reform of teaching the selected Japanese literature course and provides a reference path for cultivating students’ intercultural communicative competence.</p>
</abstract>

With the deepening of Sino-Japanese economic and trade cooperation, the demand for enterprises for Japanese intercultural communication talents is increasing. In this paper, with the assistance of artificial intelligence, we constructed an innovative teaching mode of automatic association of Japanese expressions based on natural language processing technology and semantic analysis model of Japanese Literature, which deepens students’ understanding, memorization, and application of Japanese vocabulary by dispersing and associating the cultural context of Japanese Literature. The semantic similarity calculation parses participles and morphemes in Literature to find the vocabulary that can be substituted for the specified objects and form new example sentences. Finally, through the specific application of the innovative teaching mode by the Japanese language program of University X, the impact of the mode on the cultivation of students’ intercultural communicative competence was explored. The results show that the before-and-after difference in ICC competence in the class taught with the innovative mode is -10.134, while the before-and-after difference in the class prepared with the traditional mode is only -1.012, indicating that the proposed creative reform teaching mode has a pronounced effect on the cultivation of students’ intercultural communicative competence. This study realizes the digital reform of teaching the selected Japanese literature course and provides a reference path for cultivating students’ intercultural communicative competence.

Analysis of Artificial Intelligence-Assisted Japanese Literature Teaching Reform and the Cultivation of Intercultural Communication Skills

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the deepening of Sino-Japanese economic and trade cooperation, the demand for enterprises for Japanese intercultural communication talents is increasing....

Analysis of Artificial Intelligence-Assisted Japanese Literature Teaching Reform and the Cultivation of Intercultural Communication Skills

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 04. Jan. 2024

Akzeptiert: 11. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0359

Schlüsselwörter
Artificial intelligence, Natural language processing, Semantic analysis model, Automatic association, Semantic similarity

© 2024 Ying Zheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of Artificial Intelligence-Assisted Japanese Literature Teaching Reform and the Cultivation of Intercultural Communication Skills

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 04. Jan. 2024

Akzeptiert: 11. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0359

SchlüsselwörterArtificial intelligence, Natural language processing, Semantic analysis model, Automatic association, Semantic similarity

© 2024 Ying Zheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Artificial intelligence, Natural language processing, Semantic analysis model, Automatic association, Semantic similarity