Research Foundation

This revolutionary study introduces the Lexical Cohesive Trio (LCT) framework, combining anaphora, cataphora, and transitional signals. Statistical analysis with 30 English majors demonstrated significant improvements in academic writing coherence using this framework.

This cutting-edge study explores how integrating pragmatics and cultural linguistics enhances English fluency among Arab EFL learners. It demonstrates the practical application of culturally contextualised pragmemes and culturemes in language acquisition.

This study investigates the pragmatic and cultural limitations of machine translation (MT) systems in rendering Arabic texts into English, particularly in legal, religious, and historical genres. Drawing on Sharifian's Cultural Schema Theory, Mey's pragmeme framework, and Al Sharoufi's concept of culturemes, the research applies a multi-dimensional evaluation to assess MT outputs against expert human translations. Findings reveal that MT consistently misrepresents key cultural expressions and speech acts, producing syntactically correct but pragmatically inaccurate translations. Errors were especially pronounced in formulaic religious declarations, legal terminology, and metaphorical historical discourse.

This critical study applies Dr. Al Sharoufi's framework to analyze ideological manipulation in Arabic media discourse, demonstrating the practical application of his theoretical contributions to real-world discourse analysis.

This groundbreaking study presents discursive strategies used by Arabic newspapers to serve Islamist fundamentalists' goals and strengthen hegemonic ideology. Dr. Al Sharoufi introduces the concept of Occidentalism as a retaliatory ideological strategy that rebuffs hegemonic Western ideas, establishing the theoretical foundation for ideological manipulation analysis in discourse.

This cutting-edge study explores hate speech on Facebook within three linguistic and cultural contexts. By integrating Mey's pragmemes, Sharifian's cultural schema, and Al-Sharoufi's culturemes, supported by Cultuling Analysis (CLA), the study provides a comprehensive framework for understanding multilingual hate speech patterns.

This study investigates the pragmatic and cultural limitations of machine translation (MT) systems in rendering Arabic texts into English, particularly in legal, religious, and historical genres. Drawing on Sharifian's Cultural Schema Theory, Mey's pragmeme framework, and Al Sharoufi's concept of culturemes, the research applies a multi-dimensional evaluation to assess MT outputs against expert human translations. Using qualitative comparative analysis of selected Arabic source texts, the study uncovers recurring issues of pragmatic misalignment, cultural distortion, and semantic flattening.

Findings reveal that MT consistently misrepresents key cultural expressions and speech acts, producing syntactically correct translations that are pragmatically and ideologically inaccurate. Errors were especially pronounced in formulaic religious declarations, legal terminology, and metaphorical historical discourse. The study concludes that current MT systems lack the cognitive and socio-cultural sensitivity necessary for context-rich translations, and advocates for a hybrid model combining machine efficiency with human interpretive insight.

Cross-cultural miscommunication remains a persistent challenge across education, business, and digital communication, largely due to differences in cultural norms and contextual interpretation. Traditional linguistic models, which prioritize syntax, often fail to capture the cultural dimensions of meaning. Contemporary AI translation systems remain technically accurate but culturally limited.

This study introduces an integrated Culturemic Framework, combining cultural schemata, pragmemes, practs, and culturemes (minimal units of cultural meaning), conceptually supported by the AI-based Advanced Discourse Analysis Research (ADAR) platform as an analytical model. Using a qualitative interpretive case-study approach, three intercultural scenarios are examined: academic feedback between a Chinese student and an American professor, business negotiations between American and Japanese executives, and the Arab practice of wasta.

Findings suggest that mismatched cultural schemata consistently lead to pragmatic misinterpretation, while high- and low-context communication differences shape meaning construction. Additionally, untranslatable culturemes contribute to cross-cultural tension. The study demonstrates the potential of the framework as an explanatory tool and highlights its implications for culturally aware AI, intercultural pedagogy, and discourse analysis.