Published research on language, cultural context, and discourse interpretation
Start with the conceptual Culturemic Framework, then explore selected applications in multilingual hate speech and machine translation. These publications explain theoretical foundations and selected applications relevant to ADAR: how cultural expectations and context shape meaning beyond the words alone.
Scope: These publications do not establish the accuracy of every automated analysis. Conceptual examples are not software validation; individual ADAR outputs require critical review.
This groundbreaking study introduces the concept of pragmemic dialogicality and its role in understanding context-dependent speech acts. Dr. Al Sharoufi explores how speech acts exist only within their nurturing context, challenging traditional linguistic theories and establishing the foundation for pragmemes analysis.
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.
t(1,29) = –4.938, p-value < 0.001 (transitional signals)
t(1,29) = –5.218, p-value < 0.001 (lexical repetitions)
t(1,29) = –10.672, p-value < 0.001 (lexical phrases)
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.
Corpus of 31 articles from Al-Thawra, Tishreen, and Al-Quds Al-Arabi newspapers (1998-2005)
Triangular approach: social, cognitive, and discursive analysis
Selected application · Multilingual 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.
Hostile language can depend on shared cultural assumptions, not just particular words. This study applies pragmatic and cultural concepts to 90 Facebook comments in English, Arabic, and Romanian. It offers an interpretive example, not a benchmark of ADAR's automated detection accuracy.
Analysis of 90 hate speech comments across English, Arabic, and Romanian
Interdisciplinary approach: linguistic, cultural, and technological perspectives
Al Sharoufi, H., & Sultan, A. E. (2025). Multilingual hate speech analysis on Facebook: A comparative study in English, Arabic, and Romanian. International Journal of Society, Culture & Language, 13(1), 103–120. https://doi.org/10.22034/ijscl.2024.2038402.3638
PDF by Hussain Al Sharoufi and Ahmed Essam Sultan · CC BY. Attribute the authors and publication when reusing. PDF unchanged.
Selected application · Translation and cultural meaning
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.
A translation can be grammatically correct yet miss what a speaker means. This study examines selected Arabic-to-English translations in legal, religious, and historical contexts. Its attention to cultural meaning informs critical reading of discourse; it does not measure ADAR's software accuracy.
Al Sharoufi, H. & Al-Fadhli, W. S. (2025). Bridging the gap: Pragmatic and cultural challenges in machine translation. International Journal of Society, Culture & Language, 13(2), 29–43. https://doi.org/10.22034/ijscl.2025.2062567.4066
PDF by Hussain Al Sharoufi and Waleed S. Al-Fadhli · CC BY. Attribute the authors and publication when reusing. PDF unchanged.
Featured foundation · Conceptual framework
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.
The same words can mean different things when cultural expectations differ. This conceptual paper brings together cultural schemata, pragmemes, practs, and culturemes to explain such misunderstandings. It cites ADAR as conceptual support and discusses three illustrative intercultural cases, not an empirical validation of software accuracy. Implications for culturally aware AWW and teaching are directions for further work, not demonstrated platform capabilities.
Al Sharoufi, H. & Al Sharoufi, Z. (2026). A conceptual culturemic framework for analyzing cross-cultural miscommunication. International Journal of Society, Culture & Language, 14(2), 75–90. https://doi.org/10.22034/ijscl.2026.2087259.4471
PDF by Hussain Al Sharoufi and Zahra Al Sharoufi · CC BY. Attribute the authors and publication when reusing. PDF unchanged.