Metaverse and translation studies: analysis of machine translation
DOI:
https://doi.org/10.56294/mr202338Keywords:
Metaverse, Neural Machine Translation, QualityAbstract
Although translation is fundamental, in collaboration with artificial intelligence, for the development and success of interaction and communication in the metaverse, little attention has been devoted to the direct influence of linguistic communication in three-dimensional space. Therefore, in this paper we have analyzed different research focused on the metaverse, coming from various disciplines, which have used the machine translation service. The aim is to know the perceptions about its use and quality, and thus understand what potential it would have in virtual reality and the challenges it poses. Documents were retrieved from the SciELO, Google Scholar and Dialnet databases, and those studies that have directly or indirectly used the automatic translation tool to favor communication and interaction between users were included. The results show a generally positive perception on the part of the studies analyzed, although the imprecision of the automatic translation engines and the lack of linguistic combinations are qualified. Finally, the importance of studying communication in the metaverse, opening up the number of available languages and research on the training of translation engines is highlighted, as the revenue of the machine translation market is bound to increase in the coming years due to the pace of production and the productivity offered.
References
1. Junjie GW, Danyang Z, Sangmin ML. Into the Brave New Metaverse: Envisaging Future Language Teaching and Learning. IEEE Transactions on Learning Technologies. 2023; 1-11. https://doi.org/10.1109/TLT.2023.3259470
2. Sari YE. Authentic Language Learning in Metaverse: A Big Step in the Technological Revolution or a Buzzword? HAYEF: Journal of Education. 2022; 19(3): 255-259. https://doi.org/10.5152/hayef.2022.28
3. Godwin-Jones R. Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse. Language Learning & Technology. 2023; 27(2): 6–27.
4. Xinghong L, Junxiang Z. Foreign Language Learning through Virtual Communities. Energy Procedia. 2012; (17): 737-740. https://doi.org/10.1016/j.egypro.2012.02.165
5. Hadi R, Melumad S y Park E. The Metaverse: A New Digital Frontier for Consumer Behavior. Journal of Consumer Psychology. 2023. https://ssrn.com/abstract=4380636
6. Mordor Intelligence. Mercado de traducción automática: crecimiento, tendencias, impacto de Covid.19 y pronósticos (2023-2028). 2023. https://www.mordorintelligence.com/es/industry-reports/machine-translation-market
7. Cocking S. How the language landscape will evolve if metaverse succeeds [Irish Tech News]. 2023 Mar 9. https://irishtechnews.ie/will-the-language-evolve-if-metaverse-succeeds/
8. Meta AI. Teaching AI to translate 100s of spoken and written languages in real time. 2022 Feb 23. https://ai.facebook.com/blog/teaching-ai-to-translate-100s-of-spoken-and-written-languages-in-real-time/
9. Rodríguez Vázquez S. Traducción automática y posedición en la DGT: de la teoría a la práctica. Puntoycoma. 2020; (167): 13–27.
10. Pym A, Torres-Simón E. Efectos de la automatización en las competencias básicas del traductor: la traducción automática neuronal. In Vidal Suñé A, Alarcón Alarcón A, editors. Ocupaciones y lenguaje. Indicadores y análisis de competencias lingüísticas en el ámbito laboral. Tarragona: Publicacions URV; 2021, p. 479-509.
11. Rincón Córcoles A. La traducción científico-técnica en la encrucijada: tecnología y automatización. Informe ACTA. 2020. https://www.acta.es/medios/informes/2020002.pdf
12. Ifeanyi Nwakan C, Nkechinyere Njoku J, Dong-Seong K. Evaluation of Language Translator Module for Metaverse Virtual Assistant. Conference 2022 Korean Institute of Communications and Information Sciences (KICS). 2022; (78). https://journal-home.s3.ap-northeast-2.amazonaws.com/site/2022s/abs/0087.pdf
13. Ullah Z, Alam MF, Ihsan W. Juxtaposing Urdu to English Captions of Facebook/ Metaverse: A Neural Machine Translation Study. Global Language Review. 2022; 7(2): 55-66. https://doi.org/10.31703/glr.2022(VII-II).05
14. Nakahira KT, Nunez Rattia R, Taguchi R, Kanematsuy H, Fukumural Y. (2010). Design of a multilinguistic Problem Based Learning learning environment in the metaverse. 2nd International Symposium on Aware Computing. 2010: 298-303. https://doi.org/10.1109/ISAC.2010.5670497
15. Malyukov P. Languages in the Metaverse: Why AI is critical for communication in the brave new world. Venture Beat. 2022 Mar 26. https://venturebeat.com/datadecisionmakers/languages-in-the-metaverse-why-ai-is-critical-for-communication-in-the-brave-new-world/
16. Sang Ming P, Young-Gab K. A Metaverse: Taxonomy, Components, Applications, and Open Challenges. In IEEE Access. 2022;(10):4209-4251. https://doi.org/10.1109/ACCESS.2021.3140175
17. Canfora C, Ottmann A. Risks in neural machine translation. Translation Spaces. 2020; (9): 58–77. 2020 https://doi.org/10.1075/ts.00021.can
18. Smith P. Black immigrants in the United States: Transraciolinguistic justice for imagined futures in a global metaverse. Annual Review of Applied Linguistics. 2022;(42):109–118. https://doi.org/10.1017/S0267190522000046
19. Márquez Díaz JE, Domínguez Saldaña CA, Rodriguez Ávila, CA. Virtual world as a resource for hybrid education. International Journal of Emerging Technologies in Learning. 2020;15(15):94–109. https://doi.org/10.3991/ijet.v15i15.13025
20. Jovanovic A, Milosavljevic A. VoRtex metaverse platform for gamified collaborative learning. Electronics. 2022;11(3): 317. https://doi.org/10.3390/electronics11030317
21. Koo H. Training in lung cancer surgery through the metaverse, including extended reality, in the smart operating room of Seoul National University Bundang Hospital, Korea. Journal of Educational Evaluation for Health Professions. 2021;(18):1-4. https://doi.org/10.3352/jeehp.2021.18.33
22. Tlili A, Huang R, Shehata B et al. Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis. Smart Learning Environments. 2022; (9): 1-31. https://doi.org/10.1186/s40561-022-00205-x
23. Farjami S, Taguchi R, Nakahira KT, Nunez Rattia R, Fukumura Y, Kanematsu H. (2011). Multilingual Problem Based Learning in Metaverse. In König A, Dengel A, Hinkelmann K, Kise K, Howlett RJ, Jain LC, editors. Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science, vol. 6883. Berlin: Springer; 2011. p. 1-2. https://doi.org/10.1007/978-3-642-23854-3_53
24. Kanematsu H, Fukumura Y, Barry DM, Sohn SY, Taguchi R, Nunez Rattia A. Conversation Analysis of PBL in Metaverse for students from the USA, Korea and Japan. International Conference on Engineering Education ICEE. 2010; 1-7.
25. Chaves Torres A, Zuleta Medina A. Procesamiento del lenguaje natural, un reto de la inteligencia artificial. Revista Matices Tecnológicos. 2012;(4):1-5.
Published
Issue
Section
License
Copyright (c) 2023 Rubén González Vallejo (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
