چکیده مقاله
This study reported here focused on identifying linguistic complexity indices in the review sections of English and Persian research articles which can be used to discriminate among various disciplines Lexical diversity and lexical density as the measures of lexical complexity, as well as average sentence length and the ratio of subordination as two measures of syntactic complexity were used in this study Another linguistic feature called move complexity was centered around, too Swale's CARS model was taken into consideration for figuring out the move patterns Linguistic complexity indices in four major disciplines, namely humanities, engineering, basic sciences, and medical sciences were examined The corpus comprised of 288 review sections of RAs 144 in English, 144 in Persian From each discipline, 72 articles were tested Wordsmith Tools software was utilized to compute the four lexical and syntactic complexity measures of each piece of data MANOVA and discriminant function analysis were run, as well The results demonstrated the highest degree of lexical and syntactic complexity among Persian and English articles in the field of humanities The second significant difference was found among engineering articles in Persian and their English counterparts The articles of medical sciences and basic sciences showed no difference This study has implication for ESP and EAP teachers and practitioners
کلیدواژهها
نویسندگان
Nasim Mehrabian
English Department, Najafabad Branch, Islamic Azad University, Najafabad, Iran
شیوه ارجاع
Mehrabian, Nasim,1402,The Rhetorical structure of Literature Reviews in English and Persian Research Articles,8th International Conference on Management, Psychology & Humanities with sustainable development approach,Tehran
ارائهشده در
مجموعه مقالات هشتمین همایش بین المللی مدیریت، روانشناسی و علوم انسانی با رویکرد توسعه پایدار15 اسفند 1402 · تهران