Robotics & Machine Learning Daily News2024,Issue(Jun.27) :206-206.

Google and Legal Translation: The Case Study of Contracts

谷歌与法律翻译:以合同为例

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :206-206.

Google and Legal Translation: The Case Study of Contracts

谷歌与法律翻译:以合同为例

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摘要

Robotics&Machine Learning Daily News的新闻记者兼新闻编辑-根据基于预印摘要的新闻报道,我们的记者从OS F.io获得了以下引文:“近年来,对机器翻译(MT)的需求不断增长,”这项研究主要探讨谷歌翻译公司是否能充分地为法律文件提供人工翻译服务。利用一个广受欢迎的免费网络工具Google Translate,研究方法包括将各种法律合同的六个片段翻译成阿拉伯语,并对翻译的词汇和句法准确性进行评估。“研究结果表明,尽管谷歌翻译能够快速地产生英-阿-句法层面的形态分析、协调和情态。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “In recent years, the need for Machine Translation (MT) has grown, especially fo r translating legal contracts between languages like Arabic and English. “This study primarily investigates whether Google Translator can adequately repl ace human translation for legal documents. Utilizing a widely popular free web-b ased tool, Google Translate, the research method involved translating six segmen ts from various legal contracts into Arabic and assessing the translations for l exical and syntactic accuracy. “The findings show that although Google Translate can quickly produce English-Ar abic translations, it falls short compared to professional translators, especial ly with complex legal terms and syntax. Errors can be categorized into: polysemy , homonymy, legal doublets, and adverbs at the linguistic level, and morphologic al parsing, concord, and modality at the syntactic level.

Key words

Emerging Technologies/Machine Learning/Machine Translation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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