迷失在翻译中:工业4.0中的机器翻译和文本转语音

Jean D. Hallewell Haslwanter, Michael Heiml, J. Wolfartsberger
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引用次数: 7

摘要

小批量生产在现代制造业中变得越来越普遍。公司可能会依靠人工组装来提高灵活性,而不是将每种可能的产品变体都自动化。然而,人们很难记住每个可能的产品变体的步骤。提供指示的辅助系统可以支持工人。在本文中,我们提出了一项研究,调查现有的机器翻译和文本到语音引擎是否提供足够的质量,使实时翻译能够为工人提供母语的帮助。我们的测试结果表明,对于这个应用程序,机器翻译还不够。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lost in translation: machine translation and text-to-speech in industry 4.0
Small lot sizes are becoming more common in modern manufacturing. Rather than automate every possible product variant, companies may rely on manual assembly to be more flexible. However, it can be difficult for people to remember the steps for every possible product variant. Assistive systems providing instructions can support workers. In this paper, we present a study investigating whether existing machine translation and text-to-speech engines provide sufficient quality to enable on-the-fly translations to provide assistance to workers in their native languages. The results of our tests indicate that machine translation is not yet sufficient for this application.
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