Evaluating AutomatedSpeech Recognition Captioning and Its Possibilities of Language Learning

Authors

  • Alvin Taufik Universitas Bunda Mulia Jakarta
  • Tiffany Tan Universitas Bunda Mulia Jakarta

Keywords:

Automatic captioning,, language learning

Abstract

Ask everybody about the quality of machine translation in 2017, and it is almost certain that most will say that it hasn’t been satisfactory yet. Such is also the case for automatic captioning (AC) that can be found on video based website such as Youtube, or is it? This research is aimed to investigate the quality of ASR found on Youtube channels and videos. We have also learned a lot about the use of this in language learning. In this research, the additional purpose is to find out whether the investigation on the quality of the caption can be used to assist in language learning. Additional objective of this research is to familiarize the students with new technology. This isa descriptive qualitative research. The research is conducted through observations of Youtube channels and videos about different interests. The research will identify the problem related with the ASR, and its possible solution in relation to language learning.

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Published

2018-06-30

How to Cite

Alvin Taufik, & Tan, T. (2018). Evaluating AutomatedSpeech Recognition Captioning and Its Possibilities of Language Learning. Journal of English Teaching As a Foreign Language, 4(1), 68-82. Retrieved from https://ejournal.uhn.ac.id/index.php/jetafl/article/view/129