درخت حوزه‌های تخصصی

The effects different awareness-raising techniques might have on language learners’ performance have been studied by many researchers. The present study specifically focused on improving EFL learners’ oral narrative task performance in terms of accuracy, fluency and complexity by awareness raising through semantic fields. The participants in the study included 40 intermediate learners whose initial homogeneity in terms of language proficiency was assessed via a Preliminary English Test (PET). They were further randomly assigned as one experimental group and one control group, each comprising 20 participants. The amount of instructional time was 17 sessions, during which the participants in the experimental group received an awareness raising technique through 'semantic fields'. Before and after the treatment, an oral narrative test was administrated. The results of the data analysis revealed that the experimental group which received the awareness raising technique outperformed the control group in three measures of accuracy, fluency and complexity on their performance. The participants showed significant improvements in language proficiency as they retold the narratives. The findings of the present study can create the floor for researchers to go deep through the EFL contexts and find more about the probable effects awareness raising techniques might have on language learning and teaching.

Languages as living and dynamic structured systems were influenced at the very first moments of the COVID-19 pandemic as they became medicalized by the use and practice of various jargons and technical terms. Meanwhile, homebound individuals around the world started to create a COVID-19 pandemic-related lexical-overload of neologisms (Coroneologisms or Corona coinages) in different languages which started to spread across the globe by mass media, and some of them even entered the official databases of the well-known dictionaries and Wikipedia corpora. This study was a scrutinized attempt to explore the English vs. Persian (Farsi) Coroneologisms across various Extensible Markup Language (XML) corpora and a huge body of E-resource discourses (websites, social media, and news channels and forums) based on embedded mixed-method design to provide a comprehensive insight into their types, structures, and meanings. To provide a better understanding of how and why particular Coroneologisms were created in terms of social, cultural, or political contributing factors, they were investigated based on the reflections of a series of sociolinguistic focus-group E-interviews with 184 volunteer English and Persian native speakers. This study might provide implications for sociolinguistics, corpus-based language studies, lexicographers, designers of corpora, etymologists, and discourse analysts in English and Persian.

The present study aimed to investigate whether Reports on the results and Comments on the results moves’ recycling in the Research Article (RA) Discussion sections is affected by cultural/disciplinary variations. To this end, 600 empirical RAs in six Soft Science disciplines, including Economics, Sociology, Applied Linguistics, Linguistics, Management, and Psychology, with an equal number in each discipline and culture, published in the period from 2006 to 2018 were selected. Weissberg and Buker’s (1990) move model was used as a starting point to analyze the RAs. First, the Reports on the results and Comments on the results moves were identified in the Results sections. The Chi-Square test was then used to calculate and compare the frequency of their recycling in the Discussion sections across cultures and disciplines. The data analysis results revealed that changes in the disciplines or sociocultural settings do not result in variations in recycling the two moves under study. Given that the current study provides a relatively new framework for scrutinizing scientific discourse, it may promise certain pedagogical implications for native and non-native students in Soft Science disciplines, researchers, English for Academic Purposes (EAP) and English for Specific Purposes (ESP) instructors, and course designers.

The present study was aimed at exploring the use of pronominal reference for identity representation in terms of power and solidarity in English political discourse. The investigation was based on a corpus of four political interviews and debates amounting 26,500 words. The analysis was both qualitative and quantitative. In the qualitative analysis, a discourse-analytic approach was used to find out the pronouns, their references and their identity load, and in the quantitative analysis, the distribution of different representations of identity were calculated. A nonparametric test, that is, Chi-Square was run in SPSS as the statistical operation needed for the current study. The analysis showed that most of the personal pronouns represented identity in the form of solidarity. The results also showed that political figures use <em>I</em>-pronoun and its variants to represent their identity in terms of power. The representation of identity in terms of power was also found to be correlated with the use of certain terms such as <em>veto</em> and active voice constructions. Furthermore, the results showed that when making claims, instead of giving pronominal reference to self, political figures use first-person plurals. In order to show solidarity, the speakers may also make use of discoursal proximity. Considering the important role that discourses play in constructing reality, it is important for CDA researchers to reveal sources of power, inequality and prejudice in discourses and interpret their hidden meanings. Pronominal choice and academic voice as linguistic constructions that are ideologically loaded need to be brought into the spotlight.

The current research examined the use of lexical bundles in the result sections of research papers by Iranian non-native writers in the field of applied linguistics. The WordSmith Software was applied to identify lexical bundles. In addition, the two analytical frameworks Biber et al. (2004) and Ruiying and Allison (2003) were used to categorize the bundles with regard to their structural features and their moves and steps. Moreover, with the aid of concordance, the identified clusters were analyzed and categorized according to their communicative functions. The results of the current research showed that Iranian writers relied heavily on the use of specific formulaic bundles to perform the communicative functions associated with the moves and steps. The findings also revealed that four moves out of six moves were mostly used by Iranian authors. Moreover, the researchers found that the extensive range of formulaic clusters used to demonstrate Move 2, Reporting results, the least bundles occurred in Move 4, Summarizing results, and also no clusters were used in Move 5, Evaluating the study along with Move 6, Deductions from the research by Iranian writers. The findings of this study boost the awareness of formulaic sequences usage for novice writers in particular discourse and communicative function.