TRANSLATION SKILLS AND NEURAL MECHANISMS: A NEUROSCIENCE-INFORMED LITERATURE REVIEW
Abstract
This literature review addresses the relationship between translation ability and the neural mechanisms underlying the cognitive processes involved in translation. Drawing on recent developments in neuroscience, we examine how different brain regions contribute to the complex tasks of understanding, producing and integrating cultural nuances. We highlight key studies using neuroimaging techniques such as fMRI and EEG that demonstrate the dynamic interplay between linguistic and cognitive functions during translation activities. We also discuss the implications of bilingualism and multilingualism for neural plasticity and cognitive flexibility, focusing on how these factors enhance translation ability. This literature review employs a systematic approach, including a keyword-based search across academic databases, strict inclusion and exclusion criteria, and thematic synthesis of findings, to analyze the cognitive and neural mechanisms underlying translation. In this review, we synthesize findings from cognitive psychology, linguistics and neuroscience to provide a comprehensive picture of how translation ability is acquired not only through practice but is also deeply rooted in brain architecture. Finally, we suggest some avenues that future research can take to gain a deeper understanding of the neural correlates of translation with a view to informing pedagogical approaches in translation training.
References
Alba, Peris-Yague., Jenna, Hartstein., Arielle, Hogan., Carla, Suhr., Rafael, Romero-Calderón. (2023). Increasing Accessibility to Neuroscience Through Translation: Going Beyond the English Language. ENeuro, doi: 10.1523/eneuro.0392-23.2023
Amedee, Marchand, Martella., Alyssa, P., Lawson., Daniel, H., Robinson. (2024). How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?. Education Sciences, 14(8):920-920. doi: 10.3390/educsci14080920
Ana, Rojo., Marina, Ramos, Caro. (2016). Can emotion stir translation skill? Defining the impact of positive and negative emotions on translation performance. 107-130.
Baddeley, A. (2003). Working memory and language: An overview. Journal of communication disorders, 36(3), 189-208.
Benjamin, Kowialiewski., Klaus, Oberauer. (2024). Semantic Representations in Working Memory: A Computational Model. doi: 10.31234/osf.io/z5wfy
bnmhkyui. (2023). Translation Competence. 213-249. doi: 10.1093/oso/9780198832362.003.0007
Brad, Wyble., Ryan, E., O’Donnell., Shekoofeh, Hedayati. (2023). A model of composing working memories from hierarchical representations acquired through visual learning. Journal of Vision, 23(9):5932-5932. doi: 10.1167/jov.23.9.5932
Bradley, R., Postle., Klaus, Oberauer. (2024). Working Memory. 371-414. doi: 10.1093/oxfordhb/9780190917982.013.14
Buthainah, M., Al, Thowaini., Mutahar, Qassem. (2024). The impact of an industry-driven translation training program on the performance of trainee translators. doi: 10.1080/23311983.2024.2339618
Chang, Su. (2023). A Cognitive Topological Analysis of Metonymy Translation. Journal of social science humanities and literature, 6(6):175-182. doi: 10.53469/jsshl.2023.06(06).28
Colina, S., Marrone, N., Ingram, M., & Sánchez, D. (2017). Translation quality assessment in health research: A functionalist alternative to back-translation. Evaluation & the health professions, 40(3), 267-293.
D, Otgontuya., Z, Enkhmaa. (2022). On the issue of translating neurolinguistic terms. 10(1):10-25. doi: 10.22353/ts20220101
D, Virginia, Bonomo, Ed.. (2017). Brain-Based Learning Theory. Journal of education and human development, 6(2) doi: 10.15640/JEHD.V6N1A3
Daminov, Navruz, Kudratovich. (2022). Cognitive-Dynamic Principle of Simultaneous Interpretation. International Journal For Science Technology And Engineering, 10(2):1278-1281. doi: 10.22214/ijraset.2022.40389
De Jong, T. (2010). Cognitive load theory, educational research, and instructional design: Some food for thought. Instructional science, 38(2), 105-134.
Deema, Alwathnani., Hassan, Saleh, Mahdi., Hind, Alotaibi. (2024). Does Translation Technology Affect Translators' Performance? A Meta-Analysis. Journal of Language Teaching and Research, 15(5):1741-1752. doi: 10.17507/jltr.1505.35
Denize, D'Souza., Nay, Chi, Htwe., Cameron, Lee. (2024). To Hear or Not to Hear: Cognitive Load Theory and Learning. doi: 10.24908/qap.v1i2.17213
Elizabeth, C., Vozzola., Amie, Senland. (2022). The Rise of Theories from Neuroscience and Evolutionary Perspectives. 60-80. doi: 10.4324/9780429295461-6
Evan, Anderson., Aron, K., Barbey. (2022). Investigating cognitive neuroscience theories of human intelligence: A connectome‐based predictive modeling approach. Human Brain Mapping, 44(4):1647-1665. doi: 10.1002/hbm.26164
Fatemeh, Hojjati., Ali, Motahharynia., Armin, Adibi., Iman, Adibi., Mehdi, Sanayei. (2024). Correlative comparison of visual working memory paradigms and associated models. Dental science reports, 14(1) doi: 10.1038/s41598-024-72035-5
Feng, Lu. (2024). The Translator’s Cognitive Construction in the Perspective of Cognitive Narratology. Rupkatha Journal on Interdisciplinary Studies in Humanities, doi: 10.21659/rupkatha.v16n3.06g
Gailan, Mahmoud, Al-Jubori., Muhannad, Hadi, Abdulameer, Al-Talqani. (2023). The Role of Language Skills in Enhancing Translators' Performance in Sight Translation: A Case Study. Journal of language studies, doi: 10.25130/jls.2.3.3
Ghaemi, S. (2024). Exploring The Link Between Translation Competence and Higher-Order Thinking Skills in Novice Translators. Current Research Journal of Philological Sciences, 5(10), 8-13.
Göpferich, S. (2009). Towards a model of translation competence and its acquisition: the longitudinal study TransComp. Behind the mind: Methods, models and results in translation process research, 4(4), 11-37.
Graham, J., Hitch., R., J., Allen., Alan, D, Baddeley. (2024). EXPRESS: The Multicomponent Model of Working Memory Fifty Years on.. Quarterly Journal of Experimental Psychology, 17470218241290909-17470218241290909. doi: 10.1177/17470218241290909
Hongxin, Li., Z., Wang., Yue, Xu., Yuran, Yang., Shuqi, Mei., Zhaoxiang, Zhang. (2024). MemoNav: Working Memory Model for Visual Navigation. doi: 10.48550/arxiv.2402.19161
Hui, Bian., Xinyao, Fu., Yuanyuan, Wang., Sihai, Xiong., Feiyu, Chen., Yufei, Yang., Di, Gao. (2024). Application of cognitive load theory in reading English academic articles on medical education among Chinese undergraduate medical students. Advances in Physiology Education, 48(4):712-719. doi: 10.1152/advan.00269.2023
Hvelplund, K. T. (2011). Allocation of cognitive resources in translation: An eye-tracking and key-logging study. Frederiksberg: Copenhagen Business School (CBS).
Jihyun, Si. (2024). Using cognitive load theory to tailor clinical reasoning training for preclinical medical students. BMC Medical Education, 24(1) doi: 10.1186/s12909-024-06111-9
Jing, Guo., Nan, Li., Jianchuan, Qi., Hang, Yang., Ruiqiao, Li., Yuzhen, Feng., Si, Zhang., Ming, Xu. (2023). Empowering Working Memory for Large Language Model Agents. arXiv.org, abs/2312.17259 doi: 10.48550/arxiv.2312.17259
Joshua, J., Foster., Edward, K., Vogel., Edward, Awh. (2024). Working Memory as Persistent Neural Activity. 353-370. doi: 10.1093/oxfordhb/9780190917982.013.13
K., Butarev. (2024). Learning programming from the perspective of cognitive load theory. Информатика в школе, doi: 10.32517/2221-1993-2024-23-5-5-11
Manoela, Lima, Azevedo. (2020). García, Adolfo M. The Neurocognition of Translation and Interpreting . Amsterdam/Philadelphia: John Benjamins, 2019, 268 p.. 40(2):263-273. doi: 10.5007/2175-7968.2020V40NESP2P263
Margaret, F., Gibson. (2021). The Helpful Brain? Translations of Neuroscience into Social Work. British Journal of Social Work, 51(7):2665-2679. doi: 10.1093/BJSW/BCAA119
Mohammed, Nihad, Ahmed, Mohammed, Nihad, Ahmed. (2024). The Role of Cognitive Schema Theory in the Translation from Arabic into English. doi: 10.69513/jnfh.v2n3.en2
Moser-Mercer, B. (2005). Remote interpreting: Issues of multi-sensory integration in a multilingual task. Meta, 50(2), 727-738.
N., A., Z., Abidin., Ahmad, Ihsan, Mohd, Yassin., Megat, Syahirul, Amin, Megat, Ali., Wahidah, Mansor., M., N., M., Azhan., Muhammad, Fakharul, Radzy, Mohd, Rozlan., A., H., Jahidin., Z., Mahmoodin., Farzad, Eskandari. (2024). Working Memory Models and Assessment Methods: A Review. 90-95. doi: 10.1109/cspa60979.2024.10525366
Nataliia, Yuhan., Mykhailo, Zhylin., Solomiya, Antonyuk-Kyrychenko., Наталія, Попова., Maryna, Harbar. (2024). Cognitive Aspects of Translation: The Latest Research in Psycholinguistics and Cognitive Science. Forum for linguistic studies, 6(4):316-325. doi: 10.30564/fls.v6i4.6775
O., Roger, Anderson. (2014). Progress in application of the neurosciences to an understanding of human learning: the challenge of finding a middle-ground neuroeducational theory. International Journal of Science and Mathematics Education, 12(3):475-492. doi: 10.1007/S10763-013-9455-3
Oudah, Alenazi. (2019). Language Courses as Potential Indicators of Translation Performance: An Exploratory Study. International Journal of English Linguistics, 9(2):145-. doi: 10.5539/IJEL.V9N2P145
Pym, A. (2023). Exploring translation theories. Routledge.
Qing, Chen., Lin, Shen., Shelley, R., Ochs., Kairong, Xiao. (2022). Points of View and Readers’ Immersion in Translation: A Neurocognitive Interpretation of Poetic Translatability. Frontiers in Psychology, 13 doi: 10.3389/fpsyg.2022.877150
Raf, Vanderstraeten. (2022). On the Performability of Drama Translation: A Case Study of Zhu Shenghao’s and Liang Shiqiu’s Versions of A Midsummer Night’s Dream. English Language and Literature Studies, 12(4):65-65. doi: 10.5539/ells.v12n4p65
Sandra, Spijkerman., Dianne, Manning., Lionel, Green‐Thompson. (2024). A Cognitive Load Theory Perspective of the Undergraduate Anesthesia Curricula in South Africa. Anesthesia & Analgesia, doi: 10.1213/ane.0000000000007033
Seyed, Saeed, Tabatabaee., Sara, Jambarsang., Fatemeh, Keshmiri. (2024). Cognitive load theory in workplace-based learning from the viewpoint of nursing students: application of a path analysis. BMC Medical Education, 24(1) doi: 10.1186/s12909-024-05664-z
Shreve, G. M., Lacruz, I., & Angelone, E. (2010). Cognitive effort, syntactic disruption, and visual interference in a sight translation task. Translation and cognition, 15, 63-84.
Si, Gou. (2024). Research on Optimized Path of Machine Translation from the Perspective of Cognitive Approach - Collaborative Development of Human Translation and Machine Translation. Transactions on social science, education and humanities research, 10:97-100. doi: 10.62051/jqdzka20
Stephen, Fox., Vítor, Fortes, Rey. (2024). A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability. Machine learning and knowledge extraction, 6(3):1494-1509. doi: 10.3390/make6030071
Sweller, J. (2011). Cognitive load theory. In Psychology of learning and motivation (Vol. 55, pp. 37-76). Academic Press.
Tao, Mei. (2024). A cognitive modelling of translation. Cognitive linguistic studies, 11(2):440-458. doi: 10.1075/cogls.00125.tao
Tymoczko, M. (2012). The neuroscience of translation. Target. International Journal of Translation Studies, 24(1), 83-102.