自动翻译从葡萄牙语(语音和文字)到葡萄牙语手语

Ma¨eva de Brito, N. Domingues
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引用次数: 0

摘要

技术、工程和计算机科学的主要焦点之一是解决问题和提高健康生活质量。在过去的几十年里,健康和技术之间的关系取得了很大的进展,预计会有许多合作。一些公民仍然要处理许多障碍,每天应付社会,因为它的设计。公民面临的障碍之一是耳聋和听力障碍。在葡萄牙,大约有10万到15万人有不同程度的听力损失,其中约有3万人以葡萄牙手语为母语([3];国家康复研究所,1996年)。最大的困难是适当的,必要时可以修改。他们遇到的问题是与听力正常的人沟通不畅,需要一个翻译人员。由于COVID-19大流行,强制使用口罩,尊重每个部门的最大人数以及保持社交距离,沟通变得更加复杂。为了减少甚至解决这个问题,作者开发了一个葡萄牙语手语自动语音和文本翻译系统。手语对聋人和听障人士非常有用,而文字说明对不懂手语的聋人和听障人士也很有用。为此,开发了编程语言工具来创建符合这些要求的翻译器。本文描述了这方面的发展和成就。对于概念验证,翻译器从数据库中的16张图像开始,并达到了70到90%之间的置信度。这是对进一步开发的一种激励,作者正在继续对开发的工具进行更多的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Translator from Portuguese (Voice and Text) to Portuguese Sign Language
One of the major focuses of technology, engineering and computer science is to solve problems and improve the quality of life in health. The relationship between health and technology has made great advances in the last decades, and many cooperations are foreseen. Some citizens still have to deal with many obstacles daily to cope with the society as it is designed. One of the obstacles citizens deal with is deaf and hearing impairment. In Portugal, there are about 100,000 to 150,000 people with some level of hearing loss, and of these, around 30,000 people use Portuguese Sign Language as their mother tongue ([3]; National Institute for Rehabilitation, 1996). The greatest difficulties are appropriate or amend if necessary. encountered by them are poor communication with hearing people and the need of a translator person. Communication became even more complicated with the mandatory use of face mask, respect for the maximum number of people per division and social distancing due to the COVID-19 pandemic. To diminish or even solve this issue, the authors developed an automatic voice and text translation system to Portuguese sign language with captions. Sign language will be very useful for deaf and hearing impairment citizens, and captions will be useful for deaf and hearing impairment citizens who don’t understand sign language. For that, programming language tools were developed to create a translator with those requests. This article describes the developments and achievements. For the proof of concept, the translator started with 16 images in the database and reached a confidence level between 70 and 90%. This is an incentive to further developments that authors are continuing to produce more improvements in the developed tool.
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