首页|Evaluating Translation Tools: Google Translate, Bing Translator, and Bing AI on Arabic Colloquialisms

Evaluating Translation Tools: Google Translate, Bing Translator, and Bing AI on Arabic Colloquialisms

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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: “This study examines the advancements in AI-driven machine translation, specific ally focusing on the accurate translation of Arabic colloquial expressions. It a ims to assess the progress made by Large Language Models, such as Bing AI Chat, compared to traditional machine translation systems. By focusing on colloquial e xpressions, this research aims to shed light on the challenges and opportunities for improvement in machine translation systems, particularly when dealing with the complexities of translating informal Arabic utterances. Building upon At-tal l’s 2019 thesis, which compared Google Translate and human translators, the stud y employs the same Arabic sentences as a test dataset, allowing for a direct com parison between 2019 translations and those produced by current machine translat ion tools. The findings indicate limited improvement in Google Translate since 2 019, with Bing Translator exhibiting a similar level of translation accuracy.

Emerging TechnologiesMachine LearningMachine Translation

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.21)