Simulation of Conducting Early-warning to the Endangered State of Language

Yun, Jian; Li, Xiaotong; Wang, Chunxia

doi:10.4304/jmm.8.5.475-480

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…In this research we explore how to leverage concepts of collective intelligence to save endangered languages. Moreover, design and implement systems that can be used to mitigate the loss of languages and revitalise the affected languages [7].…”

Section: Introductionmentioning

confidence: 99%

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

Mirza¹,

Sundaram²

2017

EAI Endorsed Transactions on Context-aware Systems and Applicat

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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.

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Section: Introductionmentioning

confidence: 99%

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

Mirza¹,

Sundaram²

2017

EAI Endorsed Transactions on Context-aware Systems and Applicat

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“…The influence radius changes with the ability of saying and listening changes. Details of our improvement can be found in our related paper [20].…”

Section: Construction Of Social Computational Model On Language Endanmentioning

confidence: 99%

Social Computational Model of Language Endangerment and Recovery

Jian¹,

Li²,

Liu³

et al. 2015

TOCSJ

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How to protect the endangered languages is a typical and important social problem around the world. Now, the existing social computational models of language evolution are generally short of language endangerment warning and language recovery. These two parts are very important for language evolution. In this paper, an artificial society is cultivated based on multi-agents with purpose of observing language endangerment and its recovery phenomenon. In view of endangerment factor of population language, resilience inner protective factor and resilience composite protective factor, corresponding social computational model is given. From experimental results we can see that the computational model draws the endangerment trend of the weaker one in the language competition and the recovery process of weaker endangered language under the effect of resilience composite protective factor. To break through research bottleneck for high cost of language endangerment experiment in real society, the proposed computational model is working in an artificial society. The introduction of artificial society plays an important and practical role in the design and evaluation of endangered language protection scheme.Keywords: Language competition, endangered language protection, agents, social computing, artificial society.According to data provided by Ethnologue, authoritative publication journal gathering language information all over the world, there are 7202 known languages in the world [1]. Based on the prediction admitted by most scholars, more than half of these languages will disappear after a century. Language is very important for the heritage and spread of human culture. Each language contains the quintessence of one country or one nation, so language extinction means culture extinction. Known this, it's not surprising that language endangerment and extinction has become a worldwide social problem.Based on MAT (Multi-Agents Technology), a social computational model for language endangerment and recovery is proposed in this paper. The computational model draws the endangerment trend and the recovery process under the effect of "resilience protection factor" of the weaker one in language competition in the artificial society. This paper is structured as follows. Related research work is introduced in Section 1 and boundary of language endangerment status is presented. Social computational model on language endangerment and recovery and related computational experiments to prove the validity of the model are given in Section 2. The paper is concluded in Section 3. ANALYSIS OF RELATED WORK AND DEFINI-TION OF LANGUAGE ENDANGERMENT STATUSLanguage endangerment is a typical social problem. Now, it has attracted much attention from many linguists in many countries. But there is a difficulty we can't solve in traditional social science research. Language endangerment is the fact we can't avoid in history and culture. Like other traditional social science problem, it's impossible to conduct computational experiments that c...

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Simulation of Conducting Early-warning to the Endangered State of Language

Cited by 2 publications

References 12 publications

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

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

Social Computational Model of Language Endangerment and Recovery

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