Analysis of Foreign Scientific Research on Training Specialized Translators Based on Information Resources

Bakirova  Khilolakhon Botirlaiyevna

doi:10.5281/

Authors

Bakirova Khilolakhon Botirlaiyevna PhD in pedagogy, associate professor of the department of “Applied English language translation”, Translation faculty, Uzbekistan state university of world languages Author

DOI:

https://doi.org/10.5281/

Abstract

This article analyzes foreign scientific research devoted to the training of specialized translators through the use of information resources. In contemporary translation education, the translator is no longer viewed only as a bilingual mediator, but as a professional who must work with terminology databases, corpora, electronic dictionaries, translation memories, machine translation systems, digital archives and subject-specific information platforms. The purpose of the article is to examine how international research conceptualizes the role of information resources in developing specialized translation competence. The study is based on a qualitative literature review of major foreign models and approaches, including the EMT competence framework, the PACTE translation competence model, technology-oriented translation pedagogy, corpus-based translator training and neural machine translation research. The results show that foreign studies emphasize the integration of linguistic, technological, strategic, intercultural and subject-field competences. At the same time, the analysis reveals that many international models describe translator competence broadly, while fewer studies offer a step-by-step didactic mechanism for training specialized translators through information resources. The article concludes that information-resource-based translator training should combine subject knowledge, terminology management, corpus literacy, digital competence and reflective translation practice.

References

1. Austermühl, F. (2013). Future of translation and localization. In C. Millán & F. Bartrina (Eds.), The Routledge Handbook of Translation Studies. London and New York: Routledge.

2. Bernardini, S. (2016). Corpora in translator education. In C. Millán & F. Bartrina (Eds.), The Routledge Handbook of Translation Studies. London and New York: Routledge.

3. Biel, Ł. (2018). Corpora in institutional legal translation: Small steps and the big picture. In F. Prieto Ramos (Ed.), Institutional Translation for International Governance. London: Bloomsbury Academic.

4. Bowker, L. (2002). Computer-Aided Translation Technology: A Practical Introduction. Ottawa: University of Ottawa Press.

5. Byram, M. (1997). Teaching and Assessing Intercultural Communicative Competence. Clevedon: Multilingual Matters.

6. Cabré, M. T. (1999). Terminology: Theory, Methods and Applications. Amsterdam and Philadelphia: John Benjamins.

7. Doherty, S. (2016). The impact of translation technologies on the process and product of translation. International Journal of Communication, 10, 947-969.

8. European Commission. (2022). European Master’s in Translation: Competence Framework 2022. Brussels: Directorate-General for Translation.

9. Gaspari, F., Almaghout, H., & Doherty, S. (2020). A survey of machine translation competences: Insights for translation technology educators and practitioners. Perspectives: Studies in Translation Theory and Practice, 28(3), 333-358.

10. Gouadec, D. (2007). Translation as a Profession. Amsterdam and Philadelphia: John Benjamins.

11. Johns, T. (1991). From printout to handout: Grammar and vocabulary teaching in the context of data-driven learning. ELR Journal, 4, 27-45.

12. Kelly, D. (2005). A Handbook for Translator Trainers. Manchester: St. Jerome Publishing.

13. Kiraly, D. (2000). A Social Constructivist Approach to Translator Education: Empowerment from Theory to Practice. Manchester: St. Jerome Publishing.

14. Koehn, P. (2020). Neural Machine Translation. Cambridge: Cambridge University Press.

15. Kramsch, C. (1998). Language and Culture. Oxford: Oxford University Press.

16. PACTE Group. (2003). Building a translation competence model. In F. Alves (Ed.), Triangulating Translation: Perspectives in Process Oriented Research (pp. 43-66). Amsterdam and Philadelphia: John Benjamins.

17. Pym, A. (2013). Translation Skill-Sets in a Machine-Translation Age. Meta, 58(3), 487-503.

18. Zanettin, F. (2012). Translation-Driven Corpora: Corpus Resources for Descriptive and Applied Translation Studies. Manchester: St. Jerome Publishing