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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 - 巴厘语脚本音译的新方法

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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:作为巴厘岛文化丰富之一,巴厘岛剧本写作将由于使用而导致灭绝。本研究是使用技术方法保护巴厘岛脚本写作的方法之一。通过软件工程和语言纪律之间的协作,这项研究侧重于开发新方法的拉丁语到巴厘语脚本音译,可用于网/移动学习应用程序,以使音译知识作为巴厘岛脚本写作的一个方面。在本研究领域,这种方法利用了巴厘岛Simbar字体,并且基于已识别的17种特殊单词和三个阶段的字符串模式过程开发。模型 - 视图 - 控制器(MVC)通过此方法使用架构模式,其中每个方法都是通过使用字典数据结构来实现的(作为单词的存储库属于17种特殊单词),HTML(作为Web /移动应用程序用户界面)和JavaScript(作为模型和视图之间的控制器,在此处编写了音译算法)。这种方法的新颖性来自知识的住宿属于17种类型的特殊单词通过字典数据结构查找机制。通过实验,该方法通过了超过98%(151个)的巴厘岛字母表写规则和示例文件的测试案例。该结果优于基于Bali Simbar字体的已知现有方法的最佳结果,即SlockTierasi Aksara Bali,只有超过68%(151个)同一测试文件的案例的准确性。

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