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Design of SNS-Based English Word Learning System for Daily Study

  • Chungin Lee
  • Doyeon Kim
  • Sujeong Kim
  • Yunsick SungEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 931)

Abstract

It is possible to design an English vocabulary learning system using a text to speech (TTS) engine and a module which creates push alarms for new words or sentences at a specific time every day. The function of selecting new words and sentences and showing them to the user is a core technology in vocabulary learning systems, and it has a great effect on the systems’ learning effectiveness. This paper proposes a method for creating a system which selects words and sentences. The system collects English words and sentences via social networks, refines them so that they are in a form which is appropriate for user learning, and allows the user to learn words which are related to their current location and weather.

Keywords

Listening system SNS crawling Data refine Android alarm system 

Notes

Acknowledgments

This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP (Institute for Information & communications Technology Promotion).

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Chungin Lee
    • 1
  • Doyeon Kim
    • 1
  • Sujeong Kim
    • 1
  • Yunsick Sung
    • 1
    Email author
  1. 1.Department of Multimedia EngineeringDongguk UniversitySeoulRepublic of Korea

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