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Design of SNS-based english word learning system for daily study
- Issue Date
- 2019
- Publisher
- Springer Verlag
- Keywords
- Android alarm system; Data refine; Listening system; SNS crawling
- Citation
- Communications in Computer and Information Science, v.931, pp 304 - 312
- Pages
- 9
- Indexed
- SCOPUS
- Journal Title
- Communications in Computer and Information Science
- Volume
- 931
- Start Page
- 304
- End Page
- 312
- ISSN
- 1865-0929
- 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. © Springer Nature Singapore Pte Ltd. 2019.
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Related Researcher
- Sung, Yunsick
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)