从土耳其口语到土耳其手语的混合翻译系统

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-03 DOI:10.1109/INISTA.2019.8778347

Dilek Kayahan, Tunga Güngör

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引用次数: 15

摘要

手语是聋哑人交流的主要工具。它使用手势、面部表情和身体动作来陈述一个单词或短语。像口语一样，手语也因地区和文化的不同而不同。本研究的目的是建立一个机器翻译系统，将土耳其语转化为土耳其手语。将基于规则的机器翻译技术和统计机器翻译技术的优点结合成一个混合翻译系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Hybrid Translation System from Turkish Spoken Language to Turkish Sign Language

Sign language is the primary tool of communication for deaf and mute people. It employs hand gestures, facial expressions, and body movements to state a word or a phrase. Like spoken languages, sign languages also vary among the regions and the cultures. The aim of this study is to implement a machine translation system to convert Turkish spoken language into Turkish Sign Language (TID). The advantages of rule-based and statistical machine translation techniques are combined into a hybrid translation system.

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来源期刊

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)

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