ZAMONAVIY TA'LIMDA FAN VA INNOVATSION TADQIQOTLAR http://zamtadqiqot.uz/index 3-son 10–to’plam 2025 y. Sahifa: 24 LINGUOCOGNITIVE MODELS IN TRANSLATION: A MULTIDIMENSIONAL APPROACH Mukhammedova Mokhinur Bakberganovna MA graduate in Comparative Linguistics, Linguistic Translation Studies, Samarkand State Institute of Foreign Languages, Uzbekistan
[email protected] Abstract: Translation is a cognitively complex process that involves not only linguistic transformation but also mental conceptualization. Linguocognitive models play a vital role in shaping how translators perceive, interpret, and render meaning between languages. These models, which include frame semantics, conceptual metaphor theory, and cognitive load theory, help explain how meaning is stored and accessed in the mind. This paper investigates how such models influence the translator’s choices, particularly when dealing with culturally loaded or figurative expressions. By analyzing English-Uzbek translation samples, the research illustrates how linguocognitive awareness contributes to improved accuracy, contextual appropriateness, and cultural sensitivity in translation. Keywords: linguocognitive model, conceptual metaphor, frame semantics, cognitive load, mental model, translation strategy, cross-cultural meaning, cognitive linguistics Аbстракт: Перевод — это когнитивно сложный процесс, включающий не только языковую трансформацию, но и ментальную концептуализацию. Лингвокогнитивные модели играют важную роль в том, как переводчики воспринимают, интерпретируют и передают значение между языками. Данная статья исследует влияние таких моделей, как фреймовая семантика, теория концептуальной метафоры и теория когнитивной нагрузки, на процесс
ZAMONAVIY TA'LIMDA FAN VA INNOVATSION TADQIQOTLAR http://zamtadqiqot.uz/index 3-son 10–to’plam 2025 y. Sahifa: 25 перевода, особенно при передаче культурно-насыщенных и образных выражений. Ключевые слова: лингвокогнитивная модель, концептуальная метафора, фреймовая семантика, когнитивная нагрузка, ментальная модель, переводческие стратегии 1. Introduction Linguocognitive models are becoming increasingly relevant in the field of translation studies. They view language not merely as a code but as a reflection of human thought and experience. Cognitive linguistics provides tools to understand how meaning is constructed in the mind and how this meaning is transferred between languages. This paper aims to analyze how such models—especially frame semantics [Fillmore, 1982; 111–137], conceptual metaphor theory [Lakoff & Johnson, 1980], and cognitive load theory [Sweller, 1988: 257–285]—impact translation quality and effectiveness. 2. Main Part In recent decades, translation studies have increasingly turned toward cognitive linguistics to explain how meaning is constructed, interpreted, and transferred across languages. Cognitive approaches emphasize that translation is not merely a linguistic substitution but a process of conceptual mapping between different mental representations. Among these approaches, frame semantics and conceptual metaphor theory provide valuable insights into how translators reconstruct meaning within culturally specific cognitive frameworks. 1. Frame Semantics in Translation. Frame semantics, introduced by Charles Fillmore, emphasizes that words evoke certain mental structures or "frames" in the mind of the speaker and listener. In translation, this model aids in identifying context-specific meanings and reconstructing them appropriately in the target language. For instance, the verb “buy” presupposes a commercial transaction frame involving a buyer, seller, and product. Accurate translation requires mapping such
ZAMONAVIY TA'LIMDA FAN VA INNOVATSION TADQIQOTLAR http://zamtadqiqot.uz/index 3-son 10–to’plam 2025 y. Sahifa: 26 frames to culturally and linguistically equivalent concepts in the target language.’In cultures without this tradition, translators must either provide explanatory translations or find a cultural equivalent that conveys a similar emotional and social function. 2. Conceptual Metaphor in Translation Conceptual metaphor theory, developed by Lakoff and Johnson, explains how abstract concepts are understood in terms of more concrete experiences. In translation, metaphors often require adaptation to preserve intended meaning. A metaphor that works in English may not have the same conceptual resonance in Uzbek or Russian, for example. The translator must decide whether to keep the metaphor, modify it, or replace it with a culturally relevant one. Understanding the conceptual base behind the metaphor helps guide this decision. For example, metaphors related to time, such as "wasting time" or "saving time," may be interpreted differently in cultures with a more relaxed view of time. In some languages, time is viewed more cyclically rather than linearly, which affects how time metaphors are used. 3. Cognitive Load in Translation Cognitive load theory, proposed by Sweller, identifies three types of cognitive load: intrinsic, extraneous, and germane. Translators must be aware of these loads when processing and rendering texts. High cognitive load can occur in source texts with complex syntactic structures or culturally dense content. To manage this, translators might simplify sentence structure, reorder elements for clarity, or divide long sentences. Moreover, translators should consider the cognitive load of the target audience. If a text is intended for general readers, it must be accessible and not overly technical. Reducing unnecessary complexity aids comprehension and preserves reader engagement. In technical translation, replacing long passive voice sentences with active voice helps decrease cognitive load. Similarly, translating idiomatic expressions literally may confuse readers unfamiliar with the cultural context,
ZAMONAVIY TA'LIMDA FAN VA INNOVATSION TADQIQOTLAR http://zamtadqiqot.uz/index 3-son 10–to’plam 2025 y. Sahifa: 27 adding to their cognitive effort. Understanding the cognitive structure of both source and target languages allows translators to anticipate such gaps and find contextually appropriate solutions. This requires deep cultural knowledge and linguistic sensitivity. 4. Mental Representation and Meaning Transfer Translation involves mapping meaning from the source language (SL) to the target language (TL) through mental representation. Words and expressions are first decoded into mental concepts, which are then recoded into TL equivalents. This process requires strong bilingual competence and metalinguistic awareness. Linguocognitive models assist in navigating this transfer by identifying how language structures correspond to cognitive schemas in each language. When these schemas align, translation is straightforward; when they differ, the translator must restructure the message. Ultimately, recognizing the mental representation behind words enhances semantic precision and cultural appropriateness in translation. It also improves the translator’s ability to maintain stylistic and emotional effects across languages, thus achieving higher translation fidelity. 5. Relevance Theory, developed by Sperber and Wilson (1986), has provided translation scholars with a powerful inferential framework to explain how meaning is not merely decoded from words, but dynamically constructed by the receiver using contextual assumptions. From this perspective, translation is not the transfer of linguistic form but a reconstruction of communicative intention within a new cognitive environment. The translator, therefore, plays an active role in enabling the target audience to arrive at similar interpretations as the original audience by activating comparable inferences. 6. Schema Activation Model, the process of translation is deeply rooted in the activation of prior knowledge structures (schemas) that help translators comprehend, interpret, and render meaning across languages. 3. Conclusion
ZAMONAVIY TA'LIMDA FAN VA INNOVATSION TADQIQOTLAR http://zamtadqiqot.uz/index 3-son 10–to’plam 2025 y. Sahifa: 28 Translation is more than converting words—it is about transferring conceptual meaning across languages and cultures. Linguocognitive models allow translators to better understand how meaning is mentally represented and conveyed. These models also help anticipate potential translation challenges and offer strategies to resolve them. As translation increasingly intersects with artificial intelligence and machine learning, awareness of cognitive models can also enhance the design of translation technologies 1. Catford, J.C. (1965) A Linguistic Theory of Translation. Oxford: Oxford University Press. 2. Fillmore, C.J. (1982) ‘Frame semantics’, in Linguistic Society of Korea (ed.) Linguistics in the Morning Calm. Seoul: Hanshin, pp. 111–137. 3. House, J. (2015) Translation Quality Assessment: Past and Present. London: Routledge. Johnson-Laird, P.N. (1983) Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Cambridge: Harvard University Press. 4. Kress, G. and van Leeuwen, T. (2001) Multimodal Discourse: The Modes and Media of Contemporary Communication. London: Arnold. 5. Nida, E.A. (1964) Toward a Science of Translating. Leiden: Brill. 6. O’Halloran, K.L. (2011) Multimodal Discourse Analysis. London: Bloomsbury. 7. Sperber, D. and Wilson, D. (1995) Relevance: Communication and Cognition. 2nd ed. Oxford: Blackwell 8. Fillmore, C. J. (1982). Frame Semantics. Linguistics in the Morning Calm, 111–137. 9. Lakoff, G., & Johnson, M. (1980). Metaphors We Live By. University of Chicago Press. 10. Sweller, J. (1988). Cognitive Load During Problem Solving. Cognitive Science, 12(2), 257–285.
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