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A New Method of Latin-To-Balinese Script Transliteration based on Bali Simbar Font

机译:基于Bali Simbar字体的拉丁到巴厘岛脚本音译的新方法

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As one of Balinese cultural richness, Balinese script writing is going to extinct because of its decreasing use. This research is one of the ways to preserve Balinese script writing using technological approach. Through collaboration between Software Engineering and Language discipline, this research focused on the development of a new method of Latin-to-Balinese script transliteration that can be used for a web/mobile learning application to give transliteration knowledge as one aspect of Balinese script writing. In this research area, this method utilized Bali Simbar font and was developed based on identified seventeen kinds of special words and three stages of string pattern process. Model-View-Controller (MVC) architectural pattern was used by this method, where each was implemented by using dictionary data structure (as a repository for words belong to seventeen kinds of special words), HTML (as a web/mobile application User Interface), and JavaScript (as controller between Model and View, where transliteration algorithm was written in here). The novelty of this method came from the accommodation of knowledge belong to seventeen kinds of special words through dictionary data structure look-up mechanism. Through the experiment, this method has passed over 98% (148 of 151) testing cases of The Balinese Alphabet writing rules and examples document. This result outperformed the best result of known existing method based on Bali Simbar font, i.e. Transliterasi Aksara Bali, that only has accuracy over 68% (103 of 151) cases of the same testing document.
机译:作为巴厘岛文化的丰富之一,巴厘岛脚本写作因其使用量的减少而将灭绝。这项研究是使用技术方法来保存巴厘岛脚本写作的方法之一。通过软件工程与语言学科之间的合作,本研究专注于开发拉丁语到巴厘岛脚本音译的新方法,该方法可用于网络/移动学习应用程序,以提供音译知识,这是巴厘岛脚本写作的一个方面。在该研究领域中,该方法使用Bali Simbar字体,并且是在识别出的17种特殊单词和三个阶段的字符串模式处理过程的基础上开发的。此方法使用模型-视图-控制器(MVC)体系结构模式,其中的每个模式均通过使用字典数据结构(作为单词的存储库,属于十七种特殊单词),HTML(作为Web /移动应用程序用户界面)来实现)和JavaScript(作为“模型”和“视图”之间的控制器,此处编写了音译算法)。该方法的新颖性来自于通过词典数据结构查找机制将知识归纳为属于十七种特殊词的知识。通过实验,该方法已通过了“巴厘岛字母”书写规则和示例文档的98%(151个中的148个)测试案例。该结果优于基于Bali Simbar字体的已知现有方法(即Transliterasi Aksara Bali)的最佳结果,该方法的准确度仅超过同一测试文档的68%(151个案例中的103个)。

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