Developing transliteration pattern of Latin character text document algorithm based on linguistics knowledge of writing Javanesse script

Ema Utami, J. E. Istiyanto, S. Hartati, Marsono, A. Ashari
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引用次数: 1

Abstract

Latin text document can be transliterated to Javanesse character. The propose of this transliteration model is being able to used by all society and not only for Javanesse society. The using of communication and information technology to build Latin to Javanesse characters transliteration pattern model using linguistic computation. That will be transliterated is parsed or broke to get token list (sylabic). The Context Free Recursive Descent Parser method with specific production rule can be used in checking and breaking Latin string to produce right Javanesse pattern. From the testing it is seen that by using The Context-Free Recursive-Descent Parser algorithm, text document in Latin writing can be processed so that syllable split patterns can be produced correctly. Using Pattern Matching method, the produced syllable split patterns are processed into the process of converting syllable split patterns to be Javanesse character and the mapping of their writing scheme. Text document transliteration algorithm covers: production rules for splitting Latin string, list of Latin string split model, and production rules for transliteration split Latin string pattern to Javanesse character.
基于java文字书写的语言学知识开发拉丁字符文本文档的音译模式算法
拉丁文文本文件可以音译为爪哇文字。这种音译模式的建议是能够被所有社会使用,而不仅仅是爪哇社会。利用通信和信息技术,利用语言计算建立拉丁到爪哇文字的音译模式模型。将被音译的内容解析或中断以获得令牌列表(音节)。具有特定生成规则的无上下文递归下降解析器方法可用于检查和分解拉丁字符串以生成正确的java模式。从测试中可以看出,使用上下文无关递归下降解析器算法可以处理拉丁文文本文档,从而正确地产生音节分割模式。利用模式匹配方法,将生成的音节分裂模式处理为将音节分裂模式转换为爪哇文字及其书写方案的映射过程。文本文档音译算法包括:拉丁字符串拆分的生成规则、拉丁字符串拆分模型列表和将拉丁字符串模式音译为java字符的生成规则。
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