نوع مقاله : مقاله پژوهشی
نویسنده
استادیار گروه زبان و ادبیات فارسی دانشکدهی ادبیات و علوم انسانی، دانشگاه گیلان، رشت، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
This current study employs a mixed-methods approach, combining an empirical strategy (for data collection) with a descriptive-analytical approach (for data analysis), to explicate the underlying strategies of Saadi’s Sahl-e Mumtani’ (The Inimitable Simplicity) as interpreted by Artificial Intelligence. In the empirical phase, a selected Ghazal by Saadi was provided as input data to four distinct intelligent agents: Grok-3, ChatGPT, Gemini, and DeepSeek. In the analytical phase, the outputs generated by these models were examined, compared, and evaluated to delineate Saadi’s Sahl-e Mumtani’ techniques from an AI perspective, while simultaneously assessing the analytical capabilities of these intelligent tools in literary studies. The findings of this research indicate that all four AIs successfully defined and elucidated the concept of Sahl-e Mumtani’, identifying its core components in Saadi’s Ghazal as: linguistic simplicity, semantic depth, imagery, musicality, conciseness (Ijaz), ambiguity (Iham), and universality. Furthermore, by identifying hidden patterns, conducting precise analysis of prepositional functions, evaluating the influence of meter and rhyme, and grasping semantic contradictions, the AIs demonstrate that Sahl-e Mumtani’ in Saadi’s poetry is formed not merely due to the use of simple and fluent language, but rather as a result of an intricate network of semantic relationships, subtle literary devices, and a profound experience of love and human conditions.
کلیدواژهها [English]
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