• ISSN: 2382-6282 (Print); 2972-3108 (Online)
    • Abbreviated Title: Int. J. Lang. Lit. Linguist.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJLLL
    • Editor-in-Chief: Dr. Jason Miin-Hwa Lim
    • Managing Editor:  Jennifer X. Zeng
    • Indexed by:   CNKI, Google Scholar, Crossref,
    • E-mail: ijlll_Editor@126.com
IJLLL 2016 Vol.2(4): 201-204 ISSN: 2382-6282
DOI: 10.18178/IJLLL.2016.2.4.95

Integrated Culture and Language Learning with Hakka Culture-Specific Items Annotation Platform

Chen-Chi Chang

Abstract—Multicultural society makes the minority language less used. There is a decrease in the language proficiency of the native speakers - the younger the speaker is, the poorer his language competence. How to reverse minority language, such as Hakka language, extinction is becoming crucially important issue today. This study constructed Hakka culture-specific items annotation platform which can help to add links of culture-specific items from Hakka corpus. This system looks up the pre-build Hakka culture-specific lexicons to find the appropriate Hakka language words. This system is able to help users to produce text in Hakka written language. At the same time, this system will show the Hakka culture-specific items of the source text according to the cultural meaning. Semantic Annotation Platform for Hakka Corpus provides a solution for linking culture-specific items to concepts through various sources. This study makes these cultural resources appear as one seamless connection to related researchers.

Index Terms—Hakka corpus, Hakka language, minority language, semantic annotation, culture-specific items.

C. C. Chang is with the Department of Culture Creativity and Digital Marketing, College of Hakka Studies, National United University, Miaoli 36003,Taiwan, R.O.C. (e-mail: kiwi@nuu.edu.tw).

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Cite:Chen-Chi Chang, "Integrated Culture and Language Learning with Hakka Culture-Specific Items Annotation Platform," International Journal of Languages, Literature and Linguistics vol. 2, no. 4, pp. 201-204, 2016.

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