使用自动机的Bisindo手语音译

A. H. Pratomo, O. S. Simanjuntak, Dimas Candra Nugraha Putra
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引用次数: 0

摘要

手语是一种以手势、肢体语言和唇部动作为主的语言。使用手语进行交流的人是聋哑人。印度尼西亚的手语是印尼语系统(SIBI)和印尼语(BISINDO)。BISINDO具有isopa特有的子句模式(主语、宾语、谓语、状语)。BISINDO的分句模式仅供了解和理解的聋哑人使用。由于印尼语和BISINDO之间存在一些不同的结构,所以需要一种可以从印尼语翻译成BISINDO的学习媒体。有限状态自动机(FSA)是一种能够识别印尼语句型分类的方法。FSA方法是NSA (non - determinticfinie State Automata,非确定性有限状态自动机),是一种以状态为特征的自动机。NFA是印尼语的引导性结构句型。由NFA生成的句型产生了8个句式,这些句式是bisindo翻译的必要条件。手语研究者的实验研究结果表明,多达90%的人可以很好地翻译BISINDO句型,10%的人解释了句型和手语模型的翻译不合适。根据数据可知,使用翻译自动机方法的基于web的BISINDO手语学习媒体可以用于学习媒体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bisindo Sign Language Transliteration Using Automata
Sign Language is a language which prioritizes manual communication, body language and lip movement for communication. People who usesign language for communication aredeaf and mute people. Sign language in Indonesia is Sistem Isyarat Bahasa Indonesia (SIBI) and Bahasa Isyarat Indonesia (BISINDO). BISINDO has a unique clause pattern that isSOPA (Subject, Object, Predicate, Adverbial). The clause pattern of BISINDO is just for deaf and mute people who know and understand it. Because there are some different structures between Indonesian language and BISINDO, itis neededlearning media which can translate from Indonesian language to BISINDO. Finie State Automata (FSA) is a method which is able to recognize pattern sentence classification in Indonesian language. FSA method is NSA (Non-DetermisticFinie State Automata) that is otomata with characteristics as a state. NFA is used to give introducing structure pattern sentence in Indonesian language. Sentence pattern which is produced from NFA produces eight sentences pattern which are arranged as requisites ofBISINDO translation. The result of research which is experimented by sign language researchersas many as 90% can translate well and appropriate with BISINDO sentence pattern, 10% explain that it is not appropriate with translation of sentence pattern and sign language model. Based on the data, it can be known that media of BISINDO sign language learning based on web using method of translation automata can be used for learning media.
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