1887
Volume 29, Issue 2
  • ISSN 0929-9971
  • E-ISSN: 1569-9994
USD
Buy:$35.00 + Taxes

Abstract

Abstract

This study identified terminology used in academia and media relating to Covid-19 and traced its development across 20 months from a discourse dynamics perspective. The cross-corpus comparison identified significant differences between the two corpora in the use of terminology relating to Covid-19, thereby signaling the particularities of the two communities towards the same social event. The dynamic analysis reveals a non-linear trajectory in the use of terminology in both corpora and an evolving developmental pattern in the construction of the specialized text. The analysis shows that the use of terminology evolves with social change, which can contribute to our understanding of the dynamics of terminology development. Methodologically, this study further demonstrates the viability of discourse dynamic approaches in analyzing the linguistic features of a social event.

Loading

Article metrics loading...

/content/journals/10.1075/term.00070.don
2023-10-26
2024-06-23
Loading full text...

Full text loading...

References

  1. Alagheband, M. R., Mashatan, A., and Zihayat, M.
    2020 “Time-based gap analysis of cybersecurity trends in academic and digital media.” ACM Transactions on Management Information Systems (TMIS)11 (4): 1–20. 10.1145/3389684
    https://doi.org/10.1145/3389684 [Google Scholar]
  2. Allan, I. R. H., and Ritter, J. A.
    1977 “Salmonid terminology. ICES Journal of Marine Science37(3) 293–299. 10.1093/icesjms/37.3.293
    https://doi.org/10.1093/icesjms/37.3.293 [Google Scholar]
  3. Amanat, F., and Krammer, F.
    2020 “SARS-CoV-2 vaccines: status report.” Immunity52 (4): 583–589. 10.1016/j.immuni.2020.03.007
    https://doi.org/10.1016/j.immuni.2020.03.007 [Google Scholar]
  4. Andersen, G.
    2022 “Utilising heterogeneous language resources for term extraction in maritime domains” Terminology28 (1): 1–36. 10.1075/term.20024.and
    https://doi.org/10.1075/term.20024.and [Google Scholar]
  5. Barnbrook, Geoffrey
    2006 “A sense of belonging: Possessives in dictionary definitions.” International Journal of Lexicography26 (1): 2–22. 10.1093/ijl/ecs013
    https://doi.org/10.1093/ijl/ecs013 [Google Scholar]
  6. Bernal, J. L., Andrews, N., Gower, C., Gallagher, E., Simmons, R., Thelwall, S., ... and Ramsay, M.
    2021 “Effectiveness of Covid-19 vaccines against the B. 1.617. 2 (Delta) variant”. New England Journal of Medicine. 385 (7): 585–594. 10.1056/NEJMoa2108891
    https://doi.org/10.1056/NEJMoa2108891 [Google Scholar]
  7. Bertels, A.
    2011 “The dynamics of terms and meaning in the domain of machining terminology.” Terminology / International Journal of Theoretical and Applied Issues in Specialized Communication17 (1): 94–112.
    [Google Scholar]
  8. Biel, L., and Kozbial, D.
    2020 “How do translators handle (near-) synonymous legal terms? A mixed-genre parallel corpus study into the variation of EU English-Polish competition law terminology?” Estudios de Traducción101: 69–91. 10.5209/estr.68054
    https://doi.org/10.5209/estr.68054 [Google Scholar]
  9. BNC Consortium, The British National Corpus, XML Edition
    BNC Consortium, The British National Corpus, XML Edition 2007 Oxford Text Archive, hdl.handle.net/20.500.12024/2554. Accessed02 March 2021.
  10. Bowker, L.
    (1996) “Towards a corpus-based approach to terminography”. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication3 (1): 27–52. 10.1075/term.3.1.03bow
    https://doi.org/10.1075/term.3.1.03bow [Google Scholar]
  11. Cabré, M. T.
    2005 Terminologie ou terminologies? Spécialité linguistique ou domaine interdisciplinaire?Meta: Translators’ Journal. 36(1): 1–12.
    [Google Scholar]
  12. Cameron, L., and Larsen-Freeman, D.
    2007 “Complex systems and applied linguistics.” International Journal of Applied Linguistics17 (2): 226–239. 10.1111/j.1473‑4192.2007.00148.x
    https://doi.org/10.1111/j.1473-4192.2007.00148.x [Google Scholar]
  13. Cameron, L., Maslen, R., Todd, Z., Maule, J., Stratton, P., and Stanley, L.
    2009 “A discourse dynamic approach to metaphor and metaphor-led discourse analysis.” Metaphor and Symbol24 (2): 63–89. 10.1080/10926480902830821
    https://doi.org/10.1080/10926480902830821 [Google Scholar]
  14. Charquero-Ballester, M., Walter, J. G., Nissen, I. A., and Bechmann, A.
    2021 “Different types of COVID-19 misinformation have different emotional valence on Twitter.” Big Data & Society8 (2): 20539517211041279. 10.1177/20539517211041279
    https://doi.org/10.1177/20539517211041279 [Google Scholar]
  15. Cohen, J.
    1988Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
    [Google Scholar]
  16. Collins
    Collins 2022https://www.collinsdictionary.com/. Accessed29 March 2022.
  17. Curran, J. R., & Moens, M.
    2002 Improvements in automatic thesaurus extraction. InProceedings of the ACL-02 workshop on Unsupervised lexical acquisition (pp.59–66). 10.3115/1118627.1118635
    https://doi.org/10.3115/1118627.1118635 [Google Scholar]
  18. Davies, M.
    2021 “The Coronavirus Corpus: Design, construction, and use.” International Journal of Corpus Linguistics. Advance online publication. 10.1075/ijcl.21044.dav
    https://doi.org/10.1075/ijcl.21044.dav [Google Scholar]
  19. Detsky, A. S., and Bogoch, I. I.
    2020 “COVID-19 in Canada: experience and response.” Jama, 324(8), 743–744. 10.1001/jama.2020.14033
    https://doi.org/10.1001/jama.2020.14033 [Google Scholar]
  20. Dong, J.
    2016 “A dynamic systems theory approach to development of listening strategy use and listening performance.” System631: 149–165.Authors 2018 10.1016/j.system.2016.10.004
    https://doi.org/10.1016/j.system.2016.10.004 [Google Scholar]
  21. Dong, J., & Buckingham, L.
    2018 “The collocation networks of stance phrases.” Journal of English for academic Purposes361: 119–131. 10.1016/j.jeap.2018.10.004
    https://doi.org/10.1016/j.jeap.2018.10.004 [Google Scholar]
  22. Dong, J., Buckingham, L., & Wu, H.
    2021 “A discourse dynamics exploration of attitudinal responses towards COVID-19 in academia and media.” International Journal of Corpus Linguistics26(4): 532–556. 10.1075/ijcl.21103.don
    https://doi.org/10.1075/ijcl.21103.don [Google Scholar]
  23. Douglas, M., Katikireddi, S. V., Taulbat, M., McKee, M., and McCartney, G.
    2020 “Mitigating the wider health effects of COVID-19 pandemic response.” BMJ. 369 (8243): m1557. 10.1136/bmj.m1557
    https://doi.org/10.1136/bmj.m1557 [Google Scholar]
  24. Durlak, J. A.
    2009 “How to select, calculate, and interpret effect sizes.” Journal of Pediatric Psychology. jsp004: 917–928. 10.1093/jpepsy/jsp004
    https://doi.org/10.1093/jpepsy/jsp004 [Google Scholar]
  25. Ebinger, J. E., Lan, R., Driver, M., Sun, N., Botting, P., Park, E., ... and Cheng, S.
    2022 “Seasonal COVID-19 surge related hospital volumes and case fatality rates”. BMC infectious diseases. 22 (1): 1–8. 10.1186/s12879‑022‑07139‑2
    https://doi.org/10.1186/s12879-022-07139-2 [Google Scholar]
  26. Faber, P., Martínez, S. M., Prieto, M. R. C., Ruiz, J. S., Velasco, J. A. P., Arauz, P. L., … & Expósito, M. V.
    2006 “Process-oriented terminology management in the domain of Coastal Engineering. Terminology”. International Journal of Theoretical and Applied Issues in Specialized Communication, 121(2): 189–213.
    [Google Scholar]
  27. Faber, P. B., Márquez Linares, C., and Vega Expósito, M.
    2005 “Framing Terminology: A Process-Oriented Approach.” Meta: Journal Des Traducteurs. 50 (4).
    [Google Scholar]
  28. Faber, P., Araúz, P. L., Prieto Velasco, J. A., and Reimerink, A.
    2007 “Linking Images and Words: The Description of Specialized Concepts.” International Journal of Lexicography. 20 (1): 39–65. 10.1093/ijl/ecl038
    https://doi.org/10.1093/ijl/ecl038 [Google Scholar]
  29. Faber, P., Martínez, S. M., Prieto, M. R. C., Ruiz, J. S., Velasco, J. A. P., Araúz, P. L., ... and Expósito, M. V.
    2006 “Process-Oriented Terminology Management in the Domain of Coastal Engineering.” Terminology12 (2): 189–213.
    [Google Scholar]
  30. Faber, P. B.
    (Ed.) 2012A cognitive linguistics view of terminology and specialized language. Berlin, Boston: De Gruyter Mouton. 10.1515/9783110277203
    https://doi.org/10.1515/9783110277203 [Google Scholar]
  31. Faber, P.
    2015 “Frames as a framework for terminology.” Handbook of terminology1 (14): 14–33. 10.1075/hot.1.02fra1
    https://doi.org/10.1075/hot.1.02fra1 [Google Scholar]
  32. Faber, P., and León-Araúz, P.
    2016 “Bridging the Gap between Description and Standardization: a Frame-based Version of NATO Glossaries.” InProceedings of the XVII EURALEX International Congress. Lexicography and Linguistic Diversity: 499–508. edited byMargalitadze, T. and Meladze, G.
    [Google Scholar]
  33. Faber, P., and León-Aráuz, P.
    2019 “Frame-based terminology applied to military science: transforming a glossary into a knowledge resource.” Lexicography6 (2): 105–131. 10.1007/s40607‑019‑00060‑y
    https://doi.org/10.1007/s40607-019-00060-y [Google Scholar]
  34. Faber, P., & Rodrıguez, C. I. L.
    2012 Terminology and specialized language. InFaber, P, A cognitive linguistics view of terminology and specialized language (pp.9–31). Berlin, Boston: De Gruyter Mouton. 10.1515/9783110277203
    https://doi.org/10.1515/9783110277203 [Google Scholar]
  35. Fillmore, C.
    1977 “Scenes and Frames Semantics.” InLinguistic Structures Processing (Fundamental Studies in Computer Science, (59), ed. byA. Zampolli, 55–88. Amsterdam: North Holland Publishing.
    [Google Scholar]
  36. Haffajee, R. L., and Mello, M. M.
    2020 “Thinking globally, acting locally – the U.S. response to COVID-19.” New England Journal of Medicine382 (22): e75. 10.1056/NEJMp2006740
    https://doi.org/10.1056/NEJMp2006740 [Google Scholar]
  37. Hurvich, Clifford M., Jeffrey S. Simonoff, and Chih-Ling Tsai
    1998 “Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion.” Journal of the Royal Statistical Society Series B: Statistical Methodology60 (2): 271–293. 10.1111/1467‑9868.00125
    https://doi.org/10.1111/1467-9868.00125 [Google Scholar]
  38. Hyland, K., and Jiang, F.
    2021 “The Covid infodemic: Competition and the hyping of virus research.” International Journal of Corpus Linguistics. 2641: 444–468. 10.1075/ijcl.20160.hyl
    https://doi.org/10.1075/ijcl.20160.hyl [Google Scholar]
  39. Ibekwe-SanJuan, F.
    1998 “Terminological variation, a means of identifying research topics from texts.” InProceedings of the 17th International Conference on Computational Linguistics (COLING ’98) (Montreal, 10–14 August 1998) : 564–570. Stroudsburg, PA, USA: University of Montreal.
    [Google Scholar]
  40. Ibekwe-Sanjuan, F. and E. Sanjuan
    2002 “From term variants to research topics.” Knowledge Organisation. 29 (3/4): 181–197.
    [Google Scholar]
  41. Iftimie, S., López-Azcona, A. F., Vallverdú, I., Hernández-Flix, S., De Feb rer, G., Parra, S., ... and Castro, A.
    2021 “First and second waves of coronavirus disease-19: A comparative study in hospitalized patients in Reus”, Spain. PloS one, 16 (3): e0248029. 10.1371/journal.pone.0248029
    https://doi.org/10.1371/journal.pone.0248029 [Google Scholar]
  42. Jacoby, W. G.
    2000 “Loess: A nonparametric, graphical tool for depicting relationships between variables.” Electoral studies. 19 (4): 577–613. 10.1016/S0261‑3794(99)00028‑1
    https://doi.org/10.1016/S0261-3794(99)00028-1 [Google Scholar]
  43. Jiang, F. K., and Hyland, K.
    2022 “COVID-19 in the news: The first 12 months.” International Journal of Applied Linguistics (United Kingdom). 32 (2): 241–258. 10.1111/ijal.12412
    https://doi.org/10.1111/ijal.12412 [Google Scholar]
  44. Kilgarriff, A., Baisa, V., Bušta, J., Jakubíček, M., Kovář, V., Michelfeit, J., ... and Suchomel, V.
    2014 “The Sketch Engine: ten years on.” Lexicography, 1(1), 7–36. 10.1007/s40607‑014‑0009‑9
    https://doi.org/10.1007/s40607-014-0009-9 [Google Scholar]
  45. Kit, C., and Liu, X.
    2008 “Measuring mono-word termhood by rank difference via corpus comparison.” Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication. 14 (2): 204–229.
    [Google Scholar]
  46. Knuttgen, H. G., and Kraemer, W. J.
    1987 “Terminology and measurement.” Journal of Applied Sport Science Research. 1(1): 1–10.
    [Google Scholar]
  47. Kraska-Miller, M.
    2013Nonparametric statistics for social and behavioral sciences. Crc Press. 10.1201/b16188
    https://doi.org/10.1201/b16188 [Google Scholar]
  48. Larsen-Freeman, D.
    1997 “Chaos/complexity science and second language acquisition.” Applied Linguistics, 181: 141–165. 10.1093/applin/18.2.141
    https://doi.org/10.1093/applin/18.2.141 [Google Scholar]
  49. 2009 “Adjusting expectations: The study of complexity, accuracy, and fluency in second language acquisition.” Applied Linguistics. 30 (4): 579–589. 10.1093/applin/amp043
    https://doi.org/10.1093/applin/amp043 [Google Scholar]
  50. Larsen-Freeman, D., and Cameron, L.
    2008a “Research methodology on language development from a complex systems perspective.” The Modern Language Journal. 92 (2): 200–213. 10.1111/j.1540‑4781.2008.00714.x
    https://doi.org/10.1111/j.1540-4781.2008.00714.x [Google Scholar]
  51. Larsen-Freeman, D. and Cameron, L.
    2008bComplex Systems and Applied Linguistics. Oxford: Oxford University Press.
    [Google Scholar]
  52. Leary, M. R.
    1996Self-Presentation: Impression Management and Interpersonal Behavior. Brown and Benchmark, Madison, WI.
    [Google Scholar]
  53. Lenci, A.
    2018 “Distributional models of word meaning.” Annual review of Linguistics. 41: 151–171. 10.1146/annurev‑linguistics‑030514‑125254
    https://doi.org/10.1146/annurev-linguistics-030514-125254 [Google Scholar]
  54. Martínez, S. M., and Faber, P.
    2009 “Terminological competence in translation.” Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication. 15 (1): 88–104. 10.1075/term.15.1.05mon
    https://doi.org/10.1075/term.15.1.05mon [Google Scholar]
  55. Mathews, E., Cadwell, P., O’Boyle, S., and Dunne, S.
    2022 “Crisis interpreting and Deaf community access in the COVID-19 pandemic.” Perspectives, 1–19.
    [Google Scholar]
  56. Nor, N. M., and Zulcafli, A. S.
    2020 “Corpus driven analysis of news reports about Covid-19 in a Malaysian online newspaper.” GEMA Online J. Lang. Stud. 201: 199–220. 10.17576/gema‑2020‑2003‑12
    https://doi.org/10.17576/gema-2020-2003-12 [Google Scholar]
  57. Pearce, M.
    2008 “Investigating the collocational behaviour of MAN and WOMAN in the BNC using Sketch Engine.” Corpora. 3 (1): 1–29. 10.3366/E174950320800004X
    https://doi.org/10.3366/E174950320800004X [Google Scholar]
  58. Peltier, J.
    2009peltiertech.com/loess-utility-awesome-update/. Accessed04 March 2022.
  59. Peruzzo, K.
    2014a “Term extraction and management based on event templates. Terminology.” International Journal of Theoretical and Applied Issues in Specialized Communication, 20 (2): 151–170.
    [Google Scholar]
  60. 2014b “MuLex: a proposal for a legal translation-oriented TKB with graphical representation.” Informatica e diritto. 23 (1): 251–274.
    [Google Scholar]
  61. 2017 “Legal system: an additional variable in the analysis of short-term diachronic evolution of legal terminology.” International Journal of Legal Discourse. 2 (2): 291–313. 10.1515/ijld‑2017‑0016
    https://doi.org/10.1515/ijld-2017-0016 [Google Scholar]
  62. Picht, H., and Draskau, J.
    1985Terminology: an introduction (Vol.21). University of Surrey, Department of Linguistic and International Studies.
    [Google Scholar]
  63. Picton, A.
    2011 “Picturing short-period diachronic phenomena in specialised corpora.“ Terminology. 17 (1): 134–156.
    [Google Scholar]
  64. Piersiala, K., Kakabas, L., Bruckova, A., Starkhammar, M., and Cardell, L. O.
    2022 “Acute odynophagia: A new symptom of COVID-19 during the SARS-CoV-2 Omicron variant wave in Sweden.” Journal of internal medicine. 292(1): 154–161. 10.1111/joim.13470
    https://doi.org/10.1111/joim.13470 [Google Scholar]
  65. Rayson, P.
    2009 Wmatrix: a web-based corpus processing environment, Computing Department, Lancaster University. ucrel.lancs.ac.uk/wmatrix/
  66. San Martín, A. and Faber, P.
    2012 Identifying ontological mismatches between EcoLexicon and FunGramKB. Applied Linguistics in the Age of Globalization 2012: 521–528.
    [Google Scholar]
  67. Sallam, M.
    2021 “COVID-19 vaccine hesitancy worldwide: a concise systematic review of vaccine acceptance rates.” Vaccines. 9 (2): 160. 10.3390/vaccines9020160
    https://doi.org/10.3390/vaccines9020160 [Google Scholar]
  68. Shah, J.
    2006 When your wish is my desire: A triangular model of self-regulatory relationships. K. D. Vohs, E. J. Finkel, eds., 387–406Self and Relationships: Connecting Intrapersonal and Interpersonal Processes. Guilford Press, New York.
    [Google Scholar]
  69. Simeoni, M., Cavinato, T., Rodriguez, D., & Gatfield, D.
    2021 “I (nsp1) ecting SARS-CoV-2-ribosome interactions”. Communications biology, 4(1): 715. 10.1038/s42003‑021‑02265‑0
    https://doi.org/10.1038/s42003-021-02265-0 [Google Scholar]
  70. Stoykova, V., & Petkova, E.
    2012 “Automatic extraction of mathematical terms for precalculus”. Procedia Technology 2012(1): 464–468. 10.1016/j.protcy.2012.02.102
    https://doi.org/10.1016/j.protcy.2012.02.102 [Google Scholar]
  71. Tan, K. H., Woods, P., Azman, H., Abdullah, I. H., Hashim, R. S., Rahim, H. A., ... and Kosem, I.
    2020 “COVID-19 insights and linguistic methods. 3L, Language, Linguistics.” Literature. 26 (2): 1–23.
    [Google Scholar]
  72. TermCoord
  73. Van Valin Jr, R. D.
    2005Exploring the syntax-semantics interface (pp.31-50). Cambridge University Press. 10.1017/CBO9780511610578
    https://doi.org/10.1017/CBO9780511610578 [Google Scholar]
  74. Wang, L. L., Lo, K., Chandrasekhar, Y., Reas, R., Yang, J., Eide, D., Funk, K., Kinney, R., Liu, Z., Merrill, W., Mooney, P., Murdick, D., Rishi, D., Sheehan, J., Shen, Z., Stilson, B., Wade, A. D., Wang, K., Wilhelm, C., … and Kohlmeier, S.
    2020 “CORD-19: The COVID-19 Open Research Dataset.” ArXiv. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251955/
  75. White, H., and Hider, P.
    2020 “How we talk about the movies: A comparison of Australian, British and American film genre terms.“ Journal of the Australian Library and Information Association. 69 (3): 345–356. 10.1080/24750158.2020.1777696
    https://doi.org/10.1080/24750158.2020.1777696 [Google Scholar]
  76. World Health Organization
    World Health Organization 2020 https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirus-disease-(covid-19)vaccines?adgroupsurvey={adgroupsurvey}&gclid=Cj0KCQiAi8KfBhCuARIsADpA57oHqTUS93hHPS2PG_aBHh069aT3oAyTtLtVyIa_xo9Fa3QPfsStbQaAoPFEALw_wcB. Accessed03 March 2022.
  77. Wüster, E.
    1979 “Introduction to the general theory of terminology and terminological lexicography.” Springer, Vienna, part 1979 (1): 145.
    [Google Scholar]
  78. Zhitomirsky-Geffet, Maayan, and Ido Dagan
    2009 “Bootstrapping distributional feature vector quality.” Computational linguistics35 (3): 435–461. 10.1162/coli.08‑032‑R1‑06‑96
    https://doi.org/10.1162/coli.08-032-R1-06-96 [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1075/term.00070.don
Loading
/content/journals/10.1075/term.00070.don
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error