Examining the Application of Artificial Intelligence Techniques in Enabling Syntactic Ambiguity such as Attachment Ambiguity among Hail University Students

Abstract

Syntactic ambiguity, particularly attachment ambiguity, poses a significant challenge for language learners. This study investigates the potential of Artificial Intelligence (AI) techniques to enhance the understanding and resolution of such ambiguities among students at Hail University. The research employs a qualitative research approach (structured interview) to assess the effectiveness of AI- driven interventions in improving students' ability to recognize and resolve syntactic ambiguities. Initial findings indicate that the use of AI tools results in heightened sensitivity to ambiguity, clarity of writing. This research adds to the expanding literature on AI in education through its contribution of knowledge on the actual use of AI methods for easing particular linguistic issues in a special education setting. Education through offering a window into the actual usage of AI methods for resolving certain linguistic issues in a particular educational setting.