A topic modeling analysis of Korea’s T&I research trends in the 2010s

References

1. Ball, Rafael
   2018 An Introduction to Bibliometrics: New Development and Trends. Cambirdge, MA: Elsevier Ltd.
   [Google Scholar]
2. Blei, David M., and John D. Lafferty
   2009 “Topic Models.” InText Mining: Classification, Clustering, and Applications, edited byAshok N. Srivastava and Mehran Sahami, 71–93. Boca Raton, FL: CRC Press.
   [Google Scholar]
3. Cheong, Ho-Jeong
   2013 “Evolution of and Research Trends in Academic Journals in Translation Studies: A Meta-Analysis of Research Efforts Published in and out of Korea since 1999.” Interpretation and Translation15 (1): 235–256. (in Korean)
   [Google Scholar]
4. Das, Bijay Kumar
   2005 A Handbook of Translation Studies. New Delhi: Atlantic.
   [Google Scholar]
5. Dilley, Paul
   2016 “Digital Philology between Alexandria and Babel.” InAncient Worlds in Digital Culture, edited byClaire Clivaz, Paul Dilley, and David Hamidović, 17–34. Leiden: Koninklijke Brill. 10.1163/9789004325234_003
   https://doi.org/10.1163/9789004325234_003 [Google Scholar]
6. Fortuna, Blaz, Carolina Galleguillos, and Nello Cristianini
   2009 “Detection of Bias in Media Outlets with Statistical Learning Methods.” InText Mining: Classification, Clustering, and Applications, edited byAshok N. Srivastava, and Mehran Sahami, 27–50. Boca Raton: CRC Press. 10.1201/9781420059458.ch2
   https://doi.org/10.1201/9781420059458.ch2 [Google Scholar]
7. Guo, Weiwei, and Mona Diab
   2011 “Semantic Topic Models: Combining Word Distributional Statistics and Dictionary Definitions.” Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 552–561. Edinburgh: Association for Computational Linguistics.
   [Google Scholar]
8. Han, Hyun-Hee
   2016 “Trend and Challenges in Interpreting Studies Research in Korea: Basing on Comparison with Trend in Interpreting Studies Research Overseas.” The Journal of Translation Studies17 (2): 251–286. (in Korean) 10.15749/jts.2016.17.2.010
   https://doi.org/10.15749/jts.2016.17.2.010 [Google Scholar]
9. Hao, Tianyong, Xieling Chen, Guozheng Li, and Jun Yan
   2018 “A Bibliometric Analysis of Text Mining in Medical Research.” Soft Computing22 (23): 7875–7892. 10.1007/s00500‑018‑3511‑4
   https://doi.org/10.1007/s00500-018-3511-4 [Google Scholar]
10. Jacobi, Carina, Wouter van Atteveldt, and Kasper Welbers
    2015 “Quantitative Analysis of Large Amounts of Journalistic Texts Using Topic Modelling.” Digital Journalism4: 89–106. 10.1080/21670811.2015.1093271
    https://doi.org/10.1080/21670811.2015.1093271 [Google Scholar]
11. Kim, Hyerim
    2013 “Trends in Contemporary Research on Translation Studies in Korea (1999–2013).” The Journal of Translation Studies14 (5): 95–115. (in Korean)
    [Google Scholar]
12. Lee, Changsoo
    2013 “Methodology of Corpus-Based Translation Studies.” Interpretation and Translation15 (1): 99–124. (in Korean)
    [Google Scholar]
13. Lee, Changsoo
    2019 “A Keyword’ Analysis of Major Trends in Domestic Interpretation and Translation Research of the 2010s.” The Journal of Translation Studies20 (5): 107–129. (in Korean)
    [Google Scholar]
14. Lee, Jieun
    2018 “Motivations for and Experiences of Court Interpreting Examined through Interviews with Court Interpreters.” Interpretation and Translation20 (3): 75–103. (in Korean) 10.20305/it201803075104
    https://doi.org/10.20305/it201803075104 [Google Scholar]
15. Li, Xiangdong
    2015 “International Visibility of Mainland China Translation Studies Community: A Scientometric Study.” Perspectives23 (2): 183–204. 10.1080/0907676X.2015.1006645
    https://doi.org/10.1080/0907676X.2015.1006645 [Google Scholar]
16. Lim, Hyun-kyung
    2015 “A Best Practice Study and Suggestions for the Standardization of Public-Sector Terminology in Korea.” Interpretation and Translation17 (2): 27–49. (in Korean)
    [Google Scholar]
17. O’Hagan, Minako
    2013 “The Impact of New Technologies on Translation Studies: A Technological Turn?.” InThe Routledge Handbook of Translation Studies, edited byCarmen Millán and Francesca Bartrina, 503–511. London: Routledge.
    [Google Scholar]
18. Rani, Jyoti, Ab Shah, and Srinivasan Ramachandran
    2015 “pubmed.mineR: An R Package with Text-Mining Algorithms to Analyse Pubmed Abstracts.” Journal of Biosciences40 (4): 671–682. 10.1007/s12038‑015‑9552‑2
    https://doi.org/10.1007/s12038-015-9552-2 [Google Scholar]
19. Reisenbichler, Martin, and Thomas Reutterer
    2019 “Topic Modeling in Marketing: Recent Advances and Research Opportunities.” Journal of Business Economics89: 327–356. 10.1007/s11573‑018‑0915‑7
    https://doi.org/10.1007/s11573-018-0915-7 [Google Scholar]
20. Roberts, Roda. P.
    1999 “Community Interpreting Today and Tomorrow.” InThe Critical Link 2: Interpreters in the Community, edited byRoda P. Roberts, Silvana E. Carr, Dini Steyn, and Aideen Dufour, 9–20. Amsterdam: John Benjamins. 10.1075/btl.19.03rob
    https://doi.org/10.1075/btl.19.03rob [Google Scholar]
21. Rovira-Esteva, Sara, Pilar Orero, and Javier Franco Aixelá
    eds. 2015 Special issue on “Bibliometric and Bibliographical Research in Translation Studies.” Perspectives23 (2). 10.1080/0907676X.2015.1026361
    https://doi.org/10.1080/0907676X.2015.1026361 [Google Scholar]
22. Saori, Hasegawa, and Kyujin Choi
    2018 “Current Status and Tasks of Japanese Medical Interpretation Service – Focused on Implications for Korean Medical Interpretation Service.” Interpretation and Translation20 (3): 163–193. (in Korean) 10.20305/it201803163194
    https://doi.org/10.20305/it201803163194 [Google Scholar]
23. Simon, Christian, Kristian Davidsen, Christina Hansen, Emily Seymour, Mike Bogetofte Barnkob, and Lars Rønn Olsen
    2019 “BioReader. A Text Mining Tool for Performing Classification of Biomedical Literature.” BMC Bioinformatics19 (57): 165–170. doi:  10.1186/s12859‑019‑2607‑x
    https://doi.org/10.1186/s12859-019-2607-x [Google Scholar]
24. Snell-Hornby, Mary
    2006 The Turns of Translation Studies: New Paradigms or Shifting Viewpoints?.Amsterdam: John Benjamins. 10.1075/btl.66
    https://doi.org/10.1075/btl.66 [Google Scholar]
25. Snell-Hornby, Mary
    2018 “Turns”. InA History of Modern Translation Knowledge, edited byLieven D’hulst and Yves Gambier, 143–148. Amsterdam: John Benjamins. 10.1075/btl.142.19sne
    https://doi.org/10.1075/btl.142.19sne [Google Scholar]
26. Sun, Lijun, and Yafeng Yin
    2017 “Discovering Themes and Trends in Transportation Research Using Topic Modeling.” Transportation Research Part C: Emerging Technologies77: 49–66. 10.1016/j.trc.2017.01.013
    https://doi.org/10.1016/j.trc.2017.01.013 [Google Scholar]
27. Toury, Gideon
    2012 Descriptive Translation Studies – and beyond. Amsterdam: John Benjamins. 10.1075/btl.100
    https://doi.org/10.1075/btl.100 [Google Scholar]
28. Turovsky, Barak
    2016 “Found in Translation: More Accurate, Fluent Sentences in Google Translate.” Translate, 15November 2016 https://blog.google/products/translate/found-translation-more-accurate-fluent-sentences-google-translate
    [Google Scholar]
29. van Doorslaer, Luc, and Yves Gambier
    2015 “Measuring Relationships in Translation Studies: On Affiliations and Keyword Frequencies in the Translation Studies Bibliography.” Perspectives23 (2): 305–319. 10.1080/0907676X.2015.1026360
    https://doi.org/10.1080/0907676X.2015.1026360 [Google Scholar]
30. van Kessel, Patrick
    2018 “Making Sense of Topic Models.” Pew Research Center: Decoded, last modified on14 August 2018. https://medium.com/pew-research-center-decoded/making-sense-of-topic-models-953a5e42854e
    [Google Scholar]
31. Venuti, Lawrence
    1995 The Translator’s Invisibility. New York. Routledge.
    [Google Scholar]
32. Waldherr, Annie, Gerhard Heyer, Patrick Jähnichen, Andreas Niekler, and Gregor Wiedemann
    2016 “Mining Big Data with Computational Methods.” InPolitical Communication in the Online World: Theoretical Approaches and Research Designs, edited byGerhard Vowe and Philipp Henn, 201–217. London: Routledge.
    [Google Scholar]
33. Wiedemann, Gregor
    2016 Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany. Wiesbaden: Springer. 10.1007/978‑3‑658‑15309‑0
    https://doi.org/10.1007/978-3-658-15309-0 [Google Scholar]
34. Zanettin, Federico, Gabriela Saldanha, and Sue-Ann Harding
    2015 “Sketching Landscapes in Translation Studies: A Bibliographic Study.” Perspectives23 (2): 161–182. 10.1080/0907676X.2015.1010551
    https://doi.org/10.1080/0907676X.2015.1010551 [Google Scholar]
35. Zhang, Meifang, Hanting Pan, Xi Chen, and Tian Luo
    2015 “Mapping Discourse Analysis in Translation Studies via Bibliometrics: A Survey of Journal Publications.” Perspectives23 (2): 223–239. 10.1080/0907676X.2015.1021260
    https://doi.org/10.1080/0907676X.2015.1021260 [Google Scholar]