UPSI Digital Repository (UDRep)
|
|
|
Abstract : Universiti Pendidikan Sultan Idris |
The primary objective of this article is to undertake a comprehensive and methodical examination of corpus-driven research endeavours carried out in the Asian region. A plethora of recent scholarly investigations have elucidated that the employment of corpus-driven methodologies across diverse fields and aims could derive advantageous outcomes through the utilisation of a diverse array of corpus linguistics software tools. The primary objective of corpus-driven analysis is to facilitate scholars in acquiring novel insights pertaining to a specific corpus, including the identification of pivotal keywords. The present investigation undertook a comprehensive examination of 21 scholarly research publications through the meticulous application of a systematic literature review methodology. The selection of Google Scholar and Scopus as the designated databases for the purpose of conducting a comprehensive search for pertinent scholarly resources has been made. A total of twelve research articles were procured from the Scopus database, whereas an additional eight articles were obtained from the esteemed Google Scholar platform. The empirical evidence presented in this study demonstrates the significance of corpus-driven research within the realm of Asian studies, primarily owing to the inherent ethnic diversity prevalent in this particular geographical region. The exploration of authentic language can be undertaken through a lens characterised by determination and focus. This statement elucidates the fact that the utilisation of corpus-driven research methodologies yields a greater abundance of relevant and genuine data, particularly within the realm of linguistics disciplines. (2023), (UiTM Press). All Rights Reserved. |
References |
Adolphs, S. (2006). Introducing electronic text analysis: A practical guide for language and literary studies. Routledge. Alsahlanee, A., & Jaganathan, P. (2022). Lexical complexity in the writings of Iraqi, English L2, and English L1 writers. Asian Journal of University Education, 18(4), 1105-1118. Ang, L. H. & Tan, K. H. (2018). Specificity in English for Academic Purposes (EAP): A Corpus analysis of lexical bundles in academic writing. 3L: The Southeast Asian Journal of English Language Studies, 24(2), 82 – 94. Ang, L. H. & Tan, K. H. (2019). From lexical bundles to lexical frames: Uncovering the extent of phraseological variation in academic writing. 3L: The Southeast Asian Journal of English Language Studies, 25(2), 99 – 112. Awab, S. & Norazit, L. (2013). ‘Challenging’ Times or ‘Turbulent’ Times: A study of the choice of metaphors used to refer to the 2008 economic crisis in Malaysia and Singapore. Intercultural Pragmatics, 10(2), 209-233. Barlow, M. (2004). Collocate 1.0 Software. Bibri, S. (2019). Big data science and analytics for smart sustainable urbanism. Springer. Bouzouita, M. (2019). Cycles in language change. Oxford University Press. Chan, T. (2017). The umbrella movement in the media: A Corpus-driven analysis of newspapers in Hong Kong and China. Journalism and Discourse Studies, 1-26. Chareonkul, Ch. & Wijitsopon, R. (2020). The English present perfect in authentic use and textbooks: A corpus-driven study. Journal of Language Teaching and Learning in Thailand, 60, 275-308. Cheng, W. & Lam, P. (2013). Western perceptions of Hong Kong ten years On: A corpus-driven critical discourse study. Applied Linguistics, 34, 173-190. Chung, C. J., Lai, C. L., & Hwang, G. J. (2019). Roles and research trends of flipped classrooms in nursing education: A review of academic publications from 2010 to 2017. Interactive Learning Environments, 1–22. Cohen, L. (2017). Research methods in education. Routledge. Cordeiro, C. M. (2019). A corpus-based approach to understanding market access in fisheries and aquaculture international business research: A systematic literature review. Aquaculture and Fisheries, 4(6), 219-230. Dawson, C. (2019). A-Z of digital research methods. Routledge. De Fina, A. (2020). The Cambridge handbook of discourse studies. Cambridge University Press. Dehghanzadeh, H., Fardanesh, H., Hatami, J., Talaee, E., & Noroozi, O. (2019). Using gamification to support learning English as a second language: A systematic review. Computer Assisted Language Learning, 1-24. Devereaux, M. (2019). Teaching language variation in the classroom. Routledge. Dobrovoljc, K. (2020). Identifying dictionary-relevant formulaic sequences in written and spoken corpora. International Journal of Lexicography, 33(4), 417–442, Fassnacht, C. & Woods, D. (2002). Transana, Version 2.12-Win. University of Wisconsin-Medison. Fetzer, D. (2018). Development of a MATLAB/simulink framework for phasor-based power system simulation and component modeling based on state machines. Kassel University Press GmbH. Fletcher, W.H. (2002). KfNgram software. USNA. Goyak, F., Mazura Mastura Muhammad, Farah Natchiar Mohd Khaja, Muhamad Fadzllah Zaini & Ghada Mohammad. (2021). Conversational mental verbs in English song lyrics. Asian Journal of University Education, 17(1), 222-239. Friginal, E. (2018). Corpus linguistics for English teachers. Routledge. Ge, Z.-G. (2018). The impact of a Forfeit-Or-Prize gamified teaching on e-learners’ learning performance. Computers & Education, 126, 143-152. Ghavifekr, S., & Wong, S. Y. (2022). Technology leadership in Malaysian schools: The Way forward to education 4.0 – ICT utilization and digital transformation. International Journal of Asian Business and Information Management (IJABIM), 13(2), 1-18. Hannis, M., Mkpong-Ruffin, I. & Hamilton, D. (2022) Student educational learning experience through cooperative research. Lecture Notes in Networks and Systems, 310, 22-27. Hatice, K., Nurseven, K., Gamze, G. Y. & Abdulkadir, G. (2018). Students' reflections on vocabulary learning through synchronous and asynchronous games and activities. Turkish Online Journal of Distance Education, 19(3), 53-70. He, M. Y., Ang, L. H. & Tan, K. H. (2021). A corpus-driven analysis of phrase frames in research articles on business management. Southern African Linguistics and Applied Language Studies, 39(2), 139-151 Hempel, S., Gore, K., & Belsher, B. (2019). Identifying research gaps and prioritizing psychological health evidence synthesis needs. Medical care, 57 Suppl 10 Suppl 3 (10 Suppl 3), S259–S264. Huang, W. J. (2015). A corpus-driven analysis of male and female weblog users in an ESL context. [Doctoral dissertation, University of Malaya, Malaysia]. University of Malaya Student Repository. Hussein, K. (2017). A corpus-driven approach to stylistic analysis of a lexical richness curve. GRIN Verlag. Hussein, R. F., Haider, A. S., & Al-Sayyed, S. W. (2021). A Corpus-driven study of terms used to refer to articles and methods in research abstracts in the fields of economics, education, English literature, nursing, and political science. Journal of Educational and Social Research, 11(3), 119. Hilton, A. (2020). Learning to research and researching to learn. Cambridge University Press. Hung, H. T. (2018). Gamifying the flipped classroom using game-based learning materials. English Language Teaching Journal, 72(3), 296-308. Islentyeva, A. (2020). Corpus-based analysis of ideological bias. Keselman, I., & Yakovleva, Y. (2021). Short teacher responses in the EFL classroom: A corpusapproach assessment. Journal of Language and Education, 7(2), 175-188. Lange, C. (2019). Corpus linguistics for world Englishes. Routledge. Laske, C. (2020). Law, language and change. BRILL. Leung, R. (2016). Representation of gamblers in the Singaporean press since casino legalization: A corpus-driven critical analysis. International Journal of Applied Linguistics and English Literature, 5, 51-63. Liu, K. & Muhammad Afzaal. (2021). Translator's style through lexical bundles: A corpus-driven analysis of two English translations of Hongloumeng. Frontier of Psychology, 12, 633422. Lytras, M. (2020). Big data research for social sciences and social impact. MDPI. Lui, M. & Baldwin, T. (2012). Langid.PY: An off-the-shelf language identification tool. In Proceedings of the ACL 2012 System Demonstrations (pp. 25-30). Association for Computational Linguistics. Meakins, F. (2018). Understanding linguistic fieldwork. Routledge. Mohammad Arshi Saloot. (2018). Corpus-driven Malay language tweet normalization. [Doctoral Dissertation, University of Malaya, Malaysia]. University of Malaya Student Repository. Muhammad Imran Shah & Singh. (2021). Effect of Data Driven Language Learning (DDLL) on EFL learners: A corpus-driven language learning approach. Journal of Linguistics and English Language Teaching, 1(1), 35-55. Ngulube, P. (2019). Handbook of research on connecting research methods for information science research. IGI Global. Nor Fariza Mohd Nor, Anis Anis Nadiah Che Abdul Rahman, Azhar Jaluddin, Imran Ho Abdullah & Tiun, S. (2019). A corpus driven analysis of representations around the word ‘Ekonomi’ in Malaysian Hansard Corpus. GEMA Online® Journal of Language Studies, 19 (4), 66-95. Nor Fariza Mohd Nor & Adlyn Syahirah Zulcafli. (2020). Corpus driven analysis of news reports about covid-19 in a Malaysian online newspaper. GEMA Online® Journal of Language Studies, 20(3), 199-220. Nor Fariza Mohd Nor, Jeffree & Hilwa Abdullah@Mohd Nor. (2021). Health is wealth: A corpusdriven analysis of the portrayal of mental health in Malaysian English online newspapers. GEMA Online® Journal of Language Studies, 21(2), 46-71. |
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |