Artificial Intelligence Technology Supports the Following Research on the Generation of Subtitles for College English Teaching

Guangmin Zuo, Yingying Qiu
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Abstract

In the process of college English teaching, the generation of subtitles in English class has gradually received more attention. The accuracy of subtitle generation determines the quality of English teaching. In order to optimize the subtitle generation technology for English teaching in university classrooms, this study uses the self attention mechanism of artificial intelligence technology to construct the subtitle generation model, and applies it to the sequence segmentation and paragraph segmentation of news data set. The results show that the subtitle generation model based on self attention mechanism can effectively complete the corresponding tasks with high accuracy, recall and FI-Score, and provide strong support for English teaching.
人工智能技术支持大学英语字幕生成的后续研究
在大学英语教学过程中,英语课堂字幕的生成逐渐受到人们的重视。字幕生成的准确性决定着英语教学的质量。为了优化大学课堂英语教学的字幕生成技术,本研究利用人工智能技术的自注意机制构建了字幕生成模型,并将其应用于新闻数据集的序列分割和段落分割。结果表明,基于自注意机制的字幕生成模型能够有效完成相应任务,具有较高的正确率、召回率和FI-Score,为英语教学提供有力支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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