Design and Development of a Subtitle Summarization System for Vocabulary Learning

H. Kawashima, Takafumi Tanaka, Kousuke Mouri, K. Kaneko
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引用次数: 2

Abstract

Videos are good for learning vocabulary, since they present the vocabulary in the context of natural dialogs. However, general videos do not provide good supports for language learners. This paper presents a subtitle summarization system, which is designed for vocabulary learning. The system can help a learner watch only meaningful scenes that contain the suitable vocabulary. Using the system, a learner can acquire vocabulary more efficiently since the suitable vocabulary is extracted based on the learning level of the learner. To investigate whether the system enhances learning efficiency or not, an evaluation experiment was conducted. The learning efficiency means the score of vocabulary test compared to the length of the learning time. Experimental participants were intermediate-level learners studying Japanese. They were divided into two groups: the experimental group with our system and control group with a system by a previous work. However, though our system seemed to be more advantageous, the result of the experiment showed no significant difference between two groups. The considerable reason for this result is that the summarization feature of the system is not effective enough since the contexts of the video contents are not considered when the system extracts subtitles containing the suitable vocabulary.
词汇学习字幕摘要系统的设计与开发
视频对学习词汇很有好处,因为它们在自然对话的背景下呈现词汇。然而,一般的视频并不能为语言学习者提供很好的支持。本文提出了一个针对词汇学习而设计的字幕摘要系统。该系统可以帮助学习者只观看包含合适词汇的有意义的场景。使用该系统可以根据学习者的学习水平提取合适的词汇,从而提高学习者的词汇习得效率。为了考察该系统是否提高了学习效率,进行了评价实验。学习效率是指词汇测试成绩与学习时间的比值。实验参与者为中级水平日语学习者。他们被分为两组:实验组使用我们的系统,对照组使用以前工作过的系统。然而,虽然我们的系统看起来更有优势,但实验结果显示两组之间没有显著差异。造成这一结果的重要原因是,系统在提取包含合适词汇的字幕时,没有考虑到视频内容的语境,因此系统的摘要特性不够有效。
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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