دورية أكاديمية

Collective Intelligence based Endangered Language Revitalisation Systems: Design, Implementation, and Evaluation

التفاصيل البيبلوغرافية
العنوان: Collective Intelligence based Endangered Language Revitalisation Systems: Design, Implementation, and Evaluation
المؤلفون: Asfahaan Mirza, David Sundaram
المصدر: EAI Endorsed Transactions on Context-aware Systems and Applications, Vol 4, Iss 11, Pp 1-11 (2017)
بيانات النشر: European Alliance for Innovation (EAI), 2017.
سنة النشر: 2017
المجموعة: LCC:Technology (General)
مصطلحات موضوعية: Collective Intelligence, Language Revitalisation, Endangered Languages, Crowd Sourced, Language Learning, Mobile Apps, Technology (General), T1-995
الوصف: The languages are disappearing at an alarming rate; half of 7105 plus languages spoken today may disappear by end of this century. When a language becomes extinct, communities lose their cultural identity, practices tied to a language and intellectual wealth. The rapid loss of languages motivates this study. We first introduce collective intelligence, endangered languages, and language revitalisation. Secondly we discuss and explore how to leverage collective intelligence to preserve, curate, discover, learn, share and eventually revitalise endangered languages. Thirdly we compare and synthesise existing language preservation and learning systems. Subsequently, we outline the research methodology. Finally, we propose the design, implementation and evaluation of “Save Lingo” and “Learn Lingo” apps for revitalising endangered languages. The systems are instantiated and validated in context of te reo Māori, Vietnamese and non-roman script languages such as Arabic, Chinese and Hindi.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2409-0026
العلاقة: https://doaj.org/toc/2409-0026Test
DOI: 10.4108/eai.6-3-2017.152338
الوصول الحر: https://doaj.org/article/90c3ff69eec44950a3b966684fa40b7bTest
رقم الانضمام: edsdoj.90c3ff69eec44950a3b966684fa40b7b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24090026
DOI:10.4108/eai.6-3-2017.152338