تحليل المكاسب النحوية من خلال التعلم القائم على المدونات: دراسة حالة وتحليل للأخطاء في ترجمات عربية-إنجليزية لخريجي اللسانيات

الملخص

The purpose of this research is to explore the syntactic growth of graduates of linguistics programs who translate from Arabic into English using corpus-based learning technology. The research investigates syntactic trends both before and after targeted corpus training by using a case study methodology and a systematic error analysis technique. A significant improvement can be seen in the sentence structure, verb use, and modifier placing, as shown by the results. Through the use of corpus tools, students were able to self-correct and develop structures that were more native-like. The findings of this research provide more evidence that data-driven learning is an effective method for improving syntactic competence and translation accuracy among graduates of linguistics programs. Additional recommendations are made about the use of learner corpora into advanced translation teaching.