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Applying Speech-to-Text Recognition with Computer-Aided Translation to Facilitate a Web-Based Cross-Cultural Project

  • Rustam ShadievEmail author
  • Yueh-Min Huang
  • Ting-Ting Wu
  • Wu-Yuin Hwang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9412)

Abstract

In this study, speech-to-text recognition with computer-aided translation were applied to a web-based educational project. With such approach, we aimed to enable participants from two different cultures who do not share common communication language to interact and share information with each other. Speech-to-text recognition system generated text from a speaker’s voice input in one language and computer-aided translation system simultaneously translated it into another one. We aimed to test the feasibility of our approach to enhance students’ cross-cultural learning. Results of our study demonstrated that applying speech-to-text recognition with computer-aided translation have a potential to enhance cross-cultural learning. Particularly, application of these technologies helps participants from two different cultures and without common language of communication to interact and to share culture-related information with each other.

Keywords

Speech-to-text recognition Computer-aided translation Educational project Cross-cultural understanding 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rustam Shadiev
    • 1
    Email author
  • Yueh-Min Huang
    • 1
  • Ting-Ting Wu
    • 2
  • Wu-Yuin Hwang
    • 3
  1. 1.Department of Engineering ScienceNational Cheng Kung UniversityTainan CityTaiwan
  2. 2.Graduate School of Technological and Vocational EducationNational Yunlin University of Science and TechnologyDouliu CityTaiwan
  3. 3.Graduate Institute of Network Learning TechnologyNational Central UniversityZhongli CityTaiwan

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