The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching
The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching
复制标题
大数据技术多媒体融合模式在日语翻译教学中的发展策略
DOI：
10.1155/2022/9408108
复制
发表时间：
2022
影响因子：
1.4
通讯作者：
Wanwan Qian
中科院分区：
文献类型：
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作者：
Wanwan Qian
随着经济全球化的深入发展，中国与世界各国的联系和交流日益加深，培养各语种翻译人才的任务显得尤为重要。在教学过程中，教师主要以讲解理论知识为主，课堂互动不足，造成课堂气氛枯燥乏味。同时，也不重视课后翻译的练习，往往注重口译而忽视笔译，导致很多学生认为日语翻译难、枯燥，大大降低了学生的学习积极性。针对这种情况，多媒体技术在日语翻译教学中的应用提出，多媒体技术在日语教学中的应用，可以提高学生对日语学习的兴趣，提高日语教学的教学效果。首先，构建了基于日语翻译自动校准的逻辑语义本体模型，通过该模型提取日语语义特征，并对提取的日语语义特征进行关系映射。从各个方面入手，优化日语翻译的自动校准算法，在每个句子中找到最佳的语义相关性特征，实现自动优化，从而提高日语翻译机的自动校准和主题词的配准。
With the in-depth development of economic globalization, the connection and communication between China and other countries in the world are increasingly deepened, so the task of cultivating translation talents in various languages is particularly important. In the teaching process, teachers mainly focus on explaining theoretical knowledge and lack of classroom interaction, resulting in a boring and dull classroom atmosphere. At the same time, it does not pay attention to the practice of translation after class and often pays attention to interpretation and neglects written translation, which leads many students to think that Japanese translation is difficult and boring, which greatly reduces students’ enthusiasm for learning. In view of this situation, the application of multimedia technology in Japanese translation teaching proposes that the application of multimedia technology in Japanese teaching can improve the interest of students in Japanese learning and improve the teaching effect of Japanese teaching. Firstly, this paper constructs a logistic semantic ontology model based on automatic calibration of Japanese translation, extracts Japanese semantic features through this model, and performs relational mapping on the extracted Japanese semantic features. Starting from each aspect, optimize the automatic calibration algorithm of Japanese translation, find the best semantic relevance feature in each sentence, and realize automatic optimization, thereby improving the automatic calibration of Japanese translation machines and the registration of subject words.