Challenges in translating metaphorical expressions in machine translation

Аннотация

Language is wealthy with metaphors that add depth and color to communication. Yet, when it comes to translation, these metaphorical expressions create unique difficulties. Moreover, metaphorical expressions pose a challenging obstacle for machine translation systems because of their nuanced and context-specific nature. The problem arises from the fact that metaphors are not always directly translatable word-for-word between languages due to the cultural and conceptual differences they mean. This article explores the certain challenges experienced when translating metaphors using machine translation tools, studying the limitations of present- day machine translation technologies in managing metaphorical content effectively. Key words: metaphorical expressions, difficulties, machine translation, challenges, cultural nuances, linguistic resources, context modeling, accuracy, cross-lingual communication In an interrelated world where useful communication bridges linguistic and cultural divides, the accurate translation of metaphorical language grasps leading importance. Metaphors, common in human communication, carry abstract concepts and emotions clearly. While machine translation has made considerable boost in enabling coherent communication across languages, the translation of metaphorical expressions continues a tough and elusive task for mechanized systems. In addition, it should be mentioned that metaphors, enormously rooted in culture and language, add layers of meaning that often avoid literal translation. This article aims to resolve the difficulties of translating metaphors in machine translation, highlighting the struggles faced by automated systems and investigating innovative approaches that could alter the accuracy and effectiveness of translating metaphorical content. Machine translation has revolutionized communication, breaking down language barriers and fostering global understanding. Additionally, machine translation is instrumental in academic research and collaboration across borders. Scholars can translate research papers, articles, and academic texts quickly, enabling the global dissemination of knowledge and fostering international academic partnerships. Machine translation offers a fast and cost-effective solution for 193 Topical issues of language training in the globalized world translating large volumes of content in a short amount of time. It can streamline workflow processes, reduce translation costs, and improve productivity in various industries. When it comes to the importance of machine translation, it lies in its ability to facilitate cross-cultural communication, promote inclusivity, support economic growth, enhance accessibility to information, and foster global collaboration and understanding in a diverse and interconnected world. However, machine translation struggles with nuances of human language, and one of the biggest hurdles is metaphor. Metaphors, where we describe something by comparing it to something else, are fundamental to human expression. They add flavor, depth, and creativity to language. However, machine translation systems grapple with a myriad of challenges when confronted with translating metaphorical expressions. The foremost obstacle lies in the cultural and contextual nuances embedded within metaphors, which are often culture- specific and context-dependent. Automated systems, lacking the cultural understanding and contextual grasp of human translators, struggle to decode the underlying meanings and connotations of metaphors, leading to mistranslations and loss of intended messages. Moreover, the hard, rule-based structures of machine translation often fall short in capturing the poetic and figurative essence of metaphors, resulting in translations that lack the depth and creativity of human interpretation. Besides, metaphors serve as powerful tools in language, enabling speakers to convey abstract concepts and emotions. The challenge lies in not only translating the literal meaning of words but also capturing the underlying conceptual metaphors that shape the source text’s meaning (Charteris- Black, 2004). A new, and most challenging sight of metaphor toward this so strong traditional theoretical approach was first developed in a systematic way by George Lakoff and Mark Johnson in 1980 in their seminal and pioneering work: Metaphors We Live By. Metaphor is for most people a device of the poetic imagination and the rhetorical flourish a matter of extraordinary rather than ordinary language. Moreover, metaphor is typically viewed as characteristic of language alone, a matter of words rather than thought or action. (Lakoff, Johnson, 1980). For this reason, most people think they can get along perfectly well without 194 Topical issues of language training in the globalized world metaphor. In contrast, that metaphor is pervasive in everyday life, not just in language, yet, in thought and action. Furthermore, numerous studies emphasize the importance of met