Systematic Literature Review: Trends in Japanese Pronouns Research
Kata Kunci:
Bibliometric analysis; Japanese, Pronouns, Research trends, Systematic literature reviewAbstrak
This study examines research trends on Japanese pronouns from 1994 to 2024 using a systematic literature review and bibliometric approach. The software used were PoP (Publish or Perish) and VOSviewer by drawing data from Google Scholar. The study focused on words and phrases appearing at least five times in the titles and abstracts of 180 research articles, identifying 718 words/phrases, 29 of which were interrelated. After manual selection, 28 relevant words/phrases categorized into six clusters. Network visualization helped explore the relationships between these topics, revealing six clusters with varying connectivity. Research on Japanese pronouns peaked between 2004 and 2014, with the latest studies focusing on specific subtopics. The density visualization showed that topics with red hues had been thoroughly researched, while lighter hues indicated under-explored areas.Topics such as acquisition, comparison, indeterminate pronouns, and Japanese zero pronouns were recognized as under-researched. Future research may focus on these under-explored topics to improve understanding and expand the overall knowledge.
Referensi
Alduais, A., Al-Qaderi, I., & Alfadda, H. (2022). Pragmatic Language Development: Analysis of Mapping Knowledge Domains on How Infants and Children Become Pragmatically Competent. Children, 9(9). https://doi.org/10.3390/children9091407
Anne Wil Harzing. (2016). Publish or Perish : Explains the use of Publish or Perish and its metrics. In Harzing.com.
Ardianingtyas, N. T., & Nurrohman, T. (2023). Phonology and Maharah Kalam in Scopus Publications: Content Analysis and Development Trends. Khizanah Al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, Dan Kearsipan, 11(2), 291–299. https://doi.org/10.24252/kah.v11i2a13
Arik, E. (2015). A bibliometric analysis of linguistics in web of science. Journal of Scientometric Research, 4(1), 20. https://doi.org/10.4103/2320-0057.156018
Briones-Bitar, J., Carrión-Mero, P., Montalván-Burbano, N., & Morante-Carballo, F. (2020). Rockfall research: A bibliometric analysis and future trends. Geosciences (Switzerland), 10(10). https://doi.org/10.3390/geosciences10100403
CheshmehSohrabi, M., & Mashhadi, A. (2023). Using Data Mining, Text Mining, and Bibliometric Techniques to the Research Trends and Gaps in the Field of Language and Linguistics. Journal of Psycholinguistic Research, 52(2), 607–630. https://doi.org/10.1007/s10936-022-09911-6
Crosthwaite, P., Ningrum, S., & Schweinberger, M. (2023). Research Trends in Corpus Linguistics : A Bibliometric Analysis of Two Decades of Scopus-indexed Corpus Linguistics Research in Arts and Humanities. International Journal of Corpus Linguistics, 28(3), 344–377.
Dewanty, V. L., Deandra, G. N., Alika, P. N. S., & Farisya, G. (2022). Japanese Language Learning Through Folklore Themed Instagram. Proceedings of the Fifth International Conference on Language, Literature, Culture, and Education (ICOLLITE 2021), 595. https://doi.org/10.2991/assehr.k.211119.108
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133. https://doi.org/10.1016/j.jbusres.2021.04.070
Farisia, H. (2021). Formative Assessment in An Online Class of Language Learning: Literature Review. Jurnal Pendidikan: Teori, Penelitian, Dan Pengembangan, 6(12), 1913. https://doi.org/10.17977/jptpp.v6i12.15169
Feng, J., & Chen, Y. (2022). A Bibliometric Analysis of Mobile Assisted Second Language Learning. International Journal of Interactive Mobile Technologies, 16(9), 175–190. https://doi.org/10.3991/ijim.v16i09.30351
Fuad, M., Suyanto, E., Sumarno, Muhammad, U. A., & Suparman. (2022). A Bibliometric Analysis of Technology-Based Foreign Language Learning during the COVID-19 Pandemic: Direction for Indonesia Language Learning. International Journal of Information and Education Technology, 12(10). https://doi.org/10.18178/ijiet.2022.12.10.1710
Guo, X. (2022). A Bibliometric Analysis of Child Language During 1900–2021. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.862042
Hou, Y., & Yu, Z. (2023). A Bibliometric Analysis of Synchronous Computer-Mediated Communication in Language Learning Using VOSviewer and CitNetExplorer. In Education Sciences (Vol. 13, Issue 2). MDPI. https://doi.org/10.3390/educsci13020125
Kartal, G., & Yeşilyurt, Y. E. (2024). A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022. ReCALL. https://doi.org/10.1017/S0958344024000077
Kousha, K., & Thelwall, M. (2008). Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines. Scientometrics, 74(2), 273–294. https://doi.org/10.1007/s11192-008-0217-x
Kubota, M., Heycock, C., Sorace, A., & Rothman, J. (2020). Cross-Linguistic Influence on L2 Before and After Extreme Reduction in Input: The Case of Japanese Returnee Children. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.560874
Lee, D. (2023). Bibliometric analysis of Asian ‘language and linguistics’ research: A case of 13 countries. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01840-6
Mengliye, B. R., Hamroyeva, S., & Abdullayeva, O. (2023). Scopus-based bibliometric analysis on corpus linguistics for the period of 2017-2021. E3S Web of Conferences, 413. https://doi.org/10.1051/e3sconf/202341303008
Min, W., & Yu, Z. (2023). A Bibliometric Analysis of Augmented Reality in Language Learning. Sustainability (Switzerland), 15(9). https://doi.org/10.3390/su15097235
Mori, Y., Hasegawa, A., & Mori, J. (2021). The trends and developments of L2 Japanese research in the 2010s. Language Teaching, 54(1), 90–127. https://doi.org/10.1017/S0261444820000336
Mori, Y., & Mori, J. (2011). Review of recent research (2000–2010) on learning and instruction with specific reference to L2 Japanese. In Language Teaching (Vol. 44, Issue 4, pp. 447–484). https://doi.org/10.1017/S0261444811000292
Nayak, B., Bhattacharyya, S. S., & Krishnamoorthy, B. (2022). Exploring the black box of competitive advantage – An integrated bibliometric and chronological literature review approach. Journal of Business Research, 139, 964–982.
https://doi.org/10.1016/j.jbusres.2021.10.047
Radev, D. R., Joseph, M. T., Gibson, B., & Muthukrishnan, P. (2016). A bibliometric and network analysis of the field of computational linguistics. Journal of the Association for Information Science and Technology, 67(3), 683–706. https://doi.org/10.1002/asi.23394
Shen, C. wen, & Ho, J. tsung. (2020). Technology-enhanced learning in higher education: A bibliometric analysis with latent semantic approach. Computers in Human Behavior, 104. https://doi.org/10.1016/j.chb.2019.106177
VOSviewer Official Website. (2024). Welcome to VOSviewer. Centre for Science and Technology Studies, Leiden University. https://www.vosviewer.com/
Wang, G., Wu, X., & Li, Q. (2022). A bibliometric study of news discourse analysis (1988‒2020). Discourse and Communication, 16(1), 110–128. https://doi.org/10.1177/17504813211043725
Yan, S., & Zhang, L. (2023). Trends and hot topics in linguistics studies from 2011 to 2021: A bibliometric analysis of highly cited papers. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1052586
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2024 Seminar Nasional Riset Inovatif
Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.