English Loanwords and Transliterations in Thai Fan Tweets and Their Rendering in English by Automatic Translation
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Abstract
Fan tweets vividly reflect fan register, a distinctive variety of digital language marked by creative and culturally embedded linguistic practices. Among its most salient features in Thai is the use of English loanwords and transliterations. The present study investigates 172 instances of English loanwords and transliterations drawn from two datasets of Thai fan tweets (June 2024-May 2025 and April-May 2026), examining their forms, functions, and rendering in English by automatic translation tool of Twitter (X). Five forms are identified: direct loanwords, semantic extensions, transliterations, hybrid compounds, and clippings and abbreviations, serving five functions: lexical gap filling, in-group identity marking, expressive function, economy of expression, and prestige and modernism. The study further examines how these items are rendered in English by automatic translation, identifying four translation strategies, namely, back-translation, naturalisation, substitution, and deletion, alongside two mechanisms underlying mistranslation: orthographic ambiguity and semantic misinterpretation. The findings demonstrate that while automatic translation can facilitate interlingual and intercultural fan communication, it continues to struggle with the orthographic instability, fan-specific meanings, and pragmatically embedded language use that characterise English loanwords and transliterations in Thai fan tweets, posing barriers to pragmatic equivalence and highlighting the need for developers to address variant spellings, community-specific semantics, and pragmatic context.
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References
Aixelá, J. F. (1996). Culture-specific items in translation. In R. Álvarez & M. C. Vidal (Eds.), Translation, power, subversion (pp. 52–78). Multilingual Matters.
Bennett, L. (2014). Tracing textual poachers: Reflections on the development of fan studies and digital fandom. Journal of Fandom Studies, 2(1), 5–20. https://doi.org/10.1386/jfs.2.1.5_1
Bennui, P. (2019). Lexical borrowing in English language tourism magazines in Southern Thailand: Linguistic features of Thai English words and users' perspectives. Humanities, Arts and Social Sciences Studies, 19(3), 452–502. https://doi.org/10.14456/hasss.2019.22
Bekmurodova, F. N., Djumabayeva, J. Sh., & Madiyorova, V. Q. (2024). Pragmatic equivalence in the translation of cultural references from Uzbek into English. Arab World English Journal for Translation & Literary Studies, 8(2), 241-254.
http://dx.doi.org/10.24093/awejtls/vol8no2.17
Bussoletti, A. (2023). “Tumblr is dominated by America:” a study of linguistic and cultural differences in Tumblr transnational fandom. The Communication Review, 26(1), 24–41. https://doi.org/10.1080/10714421.2022.2126589
Chalaemwaree, K., & Rodrigo, R. (2020). Thai-English code-mixing on Twitter in Thailand: Motivations and impacts on English language development. In Proceedings of the 5th National Undergraduate Conference on Humanities and Social Sciences (pp. 87–103). Faculty of Liberal Arts, Prince of Songkla University.
Chang, J.-S., & Lin, S.-S. (2009). Improving translation fluency with search- based decoding and a monolingual statistical machine translation model for automatic post-editing. In Proceedings of the 21st Conference on Computational Linguistics and Speech Processing (pp. 195–208). The Association for Computational Linguistics and Chinese Language Processing. https://aclanthology.org/O09-1015
Chavanayarn, S. (2024). Epistemic injustice and ideal social media: Enhancing X for inclusive global engagement. Topoi, 43(5), 1355– 1368. https://doi.org/10.1007/s11245-024-10070-7
Crystal, D. (2006). Language and the internet (2nd ed.). Cambridge University Press.
Duggan, J., & Dahl, A. (2019). Fan translations of SKAM: Challenging Anglo linguistic and popular cultural hegemony in a transnational fandom. Scandinavian Studies in Language, 10(2), 6–29. https://doi.org/10.7146/sss.v10i2.115610
González-Cruz, M. I. (2025). Anglicizing humor in a Spanish satirical TV show—pragmatic functions and discourse strategies. Languages, 10, 230. https://doi.org/10.3390/languages10090230
Gotti, F., Langlais, P., & Farzindar, A. (2013). Translating government agencies' tweet feeds: Specificities, problems and (a few) solutions. In Proceedings of the Workshop on Language Analysis in Social Media (pp.80-89). Association for Computational Linguistics.
Haspelmath, M. (2009). Lexical borrowing: Concepts and issues. In M. Haspelmath & U. Tadmor (Eds.), Loanwords in the world's languages: A comparative handbook (pp. 35–54). De Gruyter Mouton.
Haugen, E. (1950). The analysis of linguistic borrowing. Language, 26(2), 210–231.
Hernández-Guerrero, M. J. (2019). The translation of tweets in Spanish digital newspapers. Perspectives: Studies in Translation Theory and Practice, 28(3), 376–392. https://doi.org/10.1080/0907676X.2019.1609535
Jehl, L. (2010). Machine translation for Twitter [Unpublished master’s thesis]. University of Edinburgh.
https://mt-archive.net/10/Jehl-2010.pdf
Jitwiriyanont, S. (2025, April 24). Linguistic variation in digital communication: Generational and platform perspectives [Special lecture]. School of Liberal Arts, King Mongkut’s University of Technology Thonburi, Bangkok].
Kannaovakun, P., & Gunther, A. C. (2003). The mixing of English and Thai in Thai television program. Manusya, Journal of Humanities, 6(2), 66–80. https://digital.car.chula.ac.th/manusya/vol6/iss2/3
Klinkajorn, N. (2021). English language contact in Thai translations from two different time periods: A case study of the Thai translations of the novel Vendetta! (1886). Damrong Journal of the Faculty of Archaeology Silpakorn University, 20(2), 377–402. https://so01.tci-thaijo.org/index.php/damrong/article/view/250634
Kim, J., Kim, Y., & Bak, J. (2024). KpopMT: Translation dataset with terminology for Kpop fandom. In Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024) (pp. 37–43). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.loresmt-1.3
Kitbamrung, N., & Chinokul, S. (2026). Implementing the use of Google Translate with Grammarly to enhance Thai upper secondary school students' English writing ability. LEARN Journal: Language Education and Acquisition Research Network, 19(1), 141–172. https://doi.org/10.70730/FJSR1506
Läubli, S., Castilho, S., Neubig, G., Sennrich, R., Shen, Q., & Toral, A. (2020). A set of recommendations for assessing human–machine parity in language translation. Journal of Artificial Intelligence Research, 67, 653–672. https://doi.org/10.1613/jair.1.11371
Margareth, A., Sukardjo, M., & Situmorang, R. (2025). The evaluation and comparison of translation technologies on the learning outcomes of legal text translation studies. LEARN Journal: Language Education and Acquisition Research Network, 18(1), 568-593. https://doi.org/10.70730/DFYU5629
Mo, R., & Xiao, H.-Z. (2024). Ecolinguistic dynamics of English loanwords in Chinese: A case study on terms for cement. Humanities and Social Sciences Communications, 11, Article 1319. https://doi.org/10.1057/s41599-024-03860-2
Mukhtar, A., Fatima, T., & Fatima, T. (2024). Digital communication and the evolution of language: A sociolinguistic analysis of online interactions. Migration Letters, 21(3), 1442–1452. https://migrationletters.com/index.php/ml/article/view/11110
Na Nakorn, P., & Thanaphansin, N. (2022). Communication style of fans for boy’s love Thai television series actors. Journal of Mass Communication, 10(1), 355–380.
Noro-a, S., Charong, N., Musigcharoen, N., & Yossiri, V. (2018). Features of language used of Thai teenagers on social media. In Proceedings of the 9th Hatyai National and International Conference (pp.940-952). Hatyai University.
Nugraha, R. P., & Komsiah, S. (2023). Utilization of new media as digital fandom among Korean pop (K-pop) fan groups on the social media platform Twitter. International Journal of Progressive Sciences and Technologies, 40(1), 200–207. https://doi.org/10.52155/ijpsat.v40.1.5584
Nguyen, D. (2021). Dialect variation on social media. In M. Zampieri & P. Nakov (Eds.), Similar languages, varieties, and dialects: Studies in Natural Language Processing (pp. 1–18). Cambridge University Press.
Nyuhuan, G. (2024). Comparative analysis of translation platforms: Accuracy, fluency, and unambiguity from a technological perspective. Magna Scientia Advanced Research and Reviews, 11(1), 147– 156. https://doi.org/10.30574/msarr.2024.11.1.0082
Office of the Royal Society. (2011). พจนานุกรม ฉบับราชบัณฑิตยสถาน พ.ศ. 2554
[Royal Institute Dictionary, 2011 ed.]. https://dictionary.orst.go.th/
Office of the Royal Society. (n.d.). Transliteration database. Retrieved June 15, 2026, from https://transliteration.orst.go.th/search
Onysko, A., & Winter-Froemel, E. (2011). Necessary loans – luxury loans? Exploring the pragmatic dimension of borrowing. Journal of Pragmatics, 43(6), 1550–1567. https://doi.org/10.1016/j.pragma.2010.12.004
Pavalanathan, U., & Eisenstein, J. (2015). Emoticons vs. emojis on Twitter: A causal inference approach (arXiv:1510.08480). arXiv. https://doi.org/10.48550/arXiv.1510.08480
Prasithirathsint, A. (2005). Language in Thai society: Diversity, change and development. Chulalongkorn University Press.
Sangsarai, P. (2021). The use of English loan words of Thai people on Twitter application [Independent study, Thammasat University]. https://ethesisarchive.library.tu.ac.th/thesis/2021/TU_2021_6321040146_15930_19699.pdf
Shuttleworth, M., & Cowie, M. (2007). Dictionary of translation studies. St Jerome Publishing.
Snell-Hornby, M. (1998). Translation studies: An integrated approach. John Benjamins Publishing Company.
Yang, P. (2020). Intercultural responsiveness: Learning languages other than English and developing intercultural competence. Languages, 5, 24.
