@inproceedings{7e9b0bc57e9142919e0373916c5b9beb,
title = "Design of SNS-based english word learning system for daily study",
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{\textquoteright} 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 = "Android alarm system, Data refine, Listening system, SNS crawling",
author = "Chungin Lee and Doyeon Kim and Sujeong Kim and Yunsick Sung",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 19th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2018 ; Conference date: 20-08-2018 Through 22-08-2018",
year = "2019",
doi = "10.1007/978-981-13-5907-1_32",
language = "English",
isbn = "9789811359064",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "304--312",
editor = "Yunsick Sung and Hong Shen and Hui Tian and Park, {Jong Hyuk}",
booktitle = "Parallel and Distributed Computing, Applications and Technologies - 19th International Conference, PDCAT 2018, Revised Selected Papers",
address = "Germany",
}