فصلنامه زبان شناسی اجتماعی
سال چهارم شماره 4 (پیاپی 16، پاییز 1400)

The present study was conducted with the aim of critically analyzing the first discourse of Trump and Rouhani on the Joint Comprehensive Plan of Action (JCPOA) Program from the perspective of Systemic Functional Grammar (Halliday, 1985).  To this end, the first speech of the two presidents on the subject of the JCPOA were selected and transcribed for analyses. Both qualitative and quantitative analyses including frequency and Mann-Whitney statistical tests were used for data analyses. Findings revealed the hidden ideologies of the two previous presidents of the United States and Iran, which were Iranophobia and Anti-Americanism respectively. Both were found to emphasize his positive self-presentation and other’s negative presentation. Both intended to put each other into blame for the chaos in the region. Rohani highlighted the national unity, the role of the Revolutionary Guard in the assistance of the oppressed people of the region, and Iran’s role in the provision of peace and calm in the region, whereas Trump referred to Iran’s Nuclear ambitions and the Revolutionary Guard’s role in the ignition of fire of unrest and chaos in the region. Moreover, results showed that Functional Grammar could be used alone to critically analyze political discourses, and also with the help of three experiential, interpersonal and textual metafunctions, this language model can analyze the speeches of both presidents.  Moreover, the ideologies behind each text could be identified and their purposes be disclosed based on the elements in each metafunction such as the use of pronouns, tenses, adverbs, processes and themes used in both texts.

The study of person's names in Persian Language Teaching Textbooks (PLTT) adds to the knowledge of Persian authors and educators. In this descriptive-analytical study, the number of Iranian and non-Iranian names, the ratio of male and female names, identity category and the frequency of names in three textbooks namely, Persian language, Let's Learn Persian and Mina were investigated. Findings indicate that Mina has the highest frequency and gender ratio of Iranian names and the lowest frequency of non-Iranian names compared to the other two textbooks. Let's learn Persian and Mina have the most frequency of national-thematic and religious identity. Let's learn Persian has the highest frequency of the most frequent names of the last century. Then, it is Mina. Persian language can be evaluated in the third place with a much lower frequency of letters compared to the other two textbooks.

Cinema represents political, social and cultural realities. Critical discourse analysis also signifies linguistic text realities based on features such as ideology, society, culture and policy. The purpose of the present research is to provide a study of sociol discourses of the movie Cow based on Laclau and Mouffe’s (2001) theory. To this end, the full text of the conversations of the movie Cow was examined. Then, th data were described and analyzed for the discourse features proposed in Laclau and Mouffe’s (2001) theory. The results of the study indicate that the discourse of the movie is articulated around the central signifier Cow’s death" and the floating signifiers such as "poverty", "being religious", "unemployment", "closed society", "lying", "dependency on Cow", "unity", "unawareness" and "metamorphosis". In addition, the dominant discourses of the movie are "religion, tradition and collectivism". Through the examination of the highlights and background  features of role of the actors and actresses in the movie Cow, it was found that the signifiers "lying", "metamorphosis" and "poverty" are highlighted in this movie whereas the floating signifier "being religious" is backgrounded.