通过情感和语义分析对Google Translate进行梵文到英语翻译的评估
An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis
摘要：
谷歌翻译在语言翻译方面一直很突出;然而，与人类专家相比，在评估翻译质量方面所做的工作有限。梵语是世界上最古老的书面语言之一。2022年，梵文被添加到谷歌翻译引擎中。梵语被称为印地语等语言之母，也是印欧语系的古老来源。梵语是印度教经典如《薄伽梵歌》的原始语言。在这项研究中，我们提出了一个框架，评估谷歌翻译梵文使用博伽梵歌。我们首先使用谷歌翻译发布梵语的《博伽梵歌》翻译。我们的框架，然后比较谷歌翻译版本的薄伽梵歌与专家翻译使用情感和语义分析，通过基于BERT的语言模型。我们的研究结果表明，在情感和语义分析方面，与专家翻译相比，谷歌翻译的选定诗句的相似性较低。在定性评价中，我们发现谷歌翻译不适合翻译某些梵文单词和短语，因为它的诗意，语境意义，隐喻和意象。这些误译并不奇怪，因为《博伽梵歌》不仅被认为是一部难以翻译的文本，而且由于它依赖于上下文、哲学和历史信息，因此也难以解释。我们的框架为Google翻译自动评估其他语言奠定了基础
英文摘要：
Google Translate has been prominent for language translation; however, limited work has been done in evaluating the quality of translation when compared to human experts. Sanskrit one of the oldest written languages in the world. In 2022, the Sanskrit language was added to the Google Translate engine. Sanskrit is known as the mother of languages such as Hindi and an ancient source of the Indo-European group of languages. Sanskrit is the original language for sacred Hindu texts such as the Bhagavad Gita. In this study, we present a framework that evaluates the Google Translate for Sanskrit using the Bhagavad Gita. We first publish a translation of the Bhagavad Gita in Sanskrit using Google Translate. Our framework then compares Google Translate version of Bhagavad Gita with expert translations using sentiment and semantic analysis via BERT-based language models. Our results indicate that in terms of sentiment and semantic analysis, there is low level of similarity in selected verses of Google Translate when compared to expert translations. In the qualitative evaluation, we find that Google translate is unsuitable for translation of certain Sanskrit words and phrases due to its poetic nature, contextual significance, metaphor and imagery. The mistranslations are not surprising since the Bhagavad Gita is known as a difficult text not only to translate, but also to interpret since it relies on contextual, philosophical and historical information. Our framework lays the foundation for automatic evaluation of other languages by Google Translate
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
