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Design of SNS-based english word learning system for daily study

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dc.contributor.authorLee, C.-
dc.contributor.authorKim, D.-
dc.contributor.authorKim, S.-
dc.contributor.authorSung, Y.-
dc.date.accessioned2023-04-28T05:41:57Z-
dc.date.available2023-04-28T05:41:57Z-
dc.date.issued2019-
dc.identifier.issn1865-0929-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/8546-
dc.description.abstractIt 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.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleDesign of SNS-based english word learning system for daily study-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-981-13-5907-1_32-
dc.identifier.scopusid2-s2.0-85062296541-
dc.identifier.bibliographicCitationCommunications in Computer and Information Science, v.931, pp 304 - 312-
dc.citation.titleCommunications in Computer and Information Science-
dc.citation.volume931-
dc.citation.startPage304-
dc.citation.endPage312-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorAndroid alarm system-
dc.subject.keywordAuthorData refine-
dc.subject.keywordAuthorListening system-
dc.subject.keywordAuthorSNS crawling-
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