For this study, we use the 27,826 sentence subtitles provided by Stanford University’s courses as data. In this paper, we propose a method to divide text into sentences and generate period marks to improve the accuracy of automatic translation of English subtitles. Since the generated subtitles are separated by time units rather than sentence units, and are translated, it is very difficult to understand the translation result as a whole.

However, when extracting subtitles from video using Speech to Text, it is impossible to accurately translate the sentence because all sentences are generated without periods. This method creates subtitles suitable for the running time. Currently, the automatic caption system extracts voice data when uploading a video and provides a subtitle file converted into text. Using this, YouTube, a video-sharing site, provides captions in many languages. Recently, with the development of Speech to Text, which converts voice to text, and machine translation, technologies for simultaneously translating the captions of video into other languages have been developed.

Youtube to text subtitle