翻译:使用自然语言处理技术的文本到象形文字的翻译

S. Bautista, Raquel Hervás, Agustín Hernández-Gil, Carlos Martínez-Díaz, Sergio Pascua, Pablo Gervás
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引用次数: 4

摘要

如今,有相当多的人在通过书面文本进行交流时存在问题。这意味着许多人面临被社会排斥的高风险,因为他们发现自己无法获得写作和阅读等关键的交流方式。此外,这种交流形式与新技术的关系也越来越密切。本文的重点是提供一种将西班牙语文本翻译成象形文字的工具,旨在为那些由于身体或精神残疾而无法使用自然语言的人提供方便的书面信息。为了提高翻译的质量,我们使用了自然语言处理(NLP)技术。对该系统的评估有效地证实了所获得的翻译不仅准确,而且比由类似工具获得的翻译更接近人工翻译。
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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Aratraductor: text to pictogram translation using natural language processing techniques
Nowadays, there is a significant amount of the population that have problems when communicating through written text. This means that many people are in high risk of social exclusion as they find themselves without access to key forms of communication such as writing and reading. Besides, this form of communication has become more relevant in relation to new technologies. This paper focuses on providing a tool for translating Spanish text into pictograms that aims to facilitate access to written information for people who cannot use natural language due to physical or mental disabilities. In order to improve the obtained translations we have used Natural Language Processing (NLP) techniques. The evaluation of the system effectively confirms that obtained translations are not only accurate but closer to human-made translations than the ones obtained by a similar tool.
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