| Sumario: | Artificial Intelligence (AI) models have attracted global attention due to their ability to simulate human intelligence through neural models capable of learning, reasoning, and understanding languages from data. This has resulted in the emergence of several (AI) models and tools, including (ChatGPT). These models have been used in various aspects of life, including translation, subtitling, film industry. (ChatGPT) is regarded as one of the most prominent and effective (AI) models in the field of translation, due not only to its ability to translate large texts into multiple languages in a very short time, but also because of the high quality of its translations compared to other models. This article aims to examine the ability of (ChatGPT) to translate English generative syntax terms into Arabic. It seeks to identify the challenges involved and propose suitable solutions to address or mitigate these problems. Forty terms were collected from generative literature. The study employs a micro-analysis utilizing both comparative and analytical approaches. We first translated these terms and then had them translated by (ChatGPT). The two sets of translations were then compared and analyzed, based on two main criteria: i) translation strategy, which includes translation by addition, morphological derivation, Arabization and foreignization, and ii) translation accuracy, which comprises correct translation, appropriate translation, and completely incorrect translation. Findings reveal that (ChatGPT’s) translation exhibits significant shortcomings, with several syntactic, lexical and semantic problems. The study proposes some effective solutions to improve (ChatGPT) translation of English generative syntax terms into Arabic, including all aspects of Arabic generative grammar in the Arabic training data.
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