چکیده مقاله
Machine translation MT has witnessed significant advancements in recent years, yet it still grapples with various challenges hindering its ability to produce accurate and contextually appropriate translations This paper delves into the multifaceted challenges encountered in machine translation, focusing on issues such as semantic ambiguity, contextual understanding, handling rare and technical vocabulary, and capturing idiomatic expressions These challenges significantly impact the quality and fluency of translated text, posing barriers to effective communication across language barriers The first section of the paper explores the inherent complexities in machine translation, emphasizing the difficulties in accurately capturing the nuances of meaning embedded within language Semantic ambiguity, arising from polysemy and homonymy, presents a formidable obstacle, often leading to mistranslations or ambiguity in the output Additionally, the context in which words and phrases are used plays a pivotal role in determining their intended meaning, posing a challenge for traditional translation models to grasp contextual nuances effectively Moreover, the presence of rare or technical vocabulary further exacerbates translation difficulties, as standard MT systems may lack sufficient training data to accurately translate such terms Idiomatic expressions present another formidable challenge, as they often defy literal translation and require a deep understanding of cultural and linguistic nuances The failure to properly translate idiomatic phrases can result in awkward or nonsensical output, undermining the overall quality of the translation In response to these challenges, the paper proposes a range of solutions aimed at enhancing translation quality and efficacy These solutions encompass advancements in neural machine translation NMT , hybrid approaches combining rule based and statistical methods, and the integration of context aware models capable of capturing the contextual subtleties inherent in language Furthermore, the concept of continuous learning and adaptation is explored as a means to improve translation systems over time, allowing them to evolve and refine their capabilities based on real world usage and feedback By investigating the challenges inherent in machine translation and introducing potential solutions to address them, this paper contributes to the ongoing discourse surrounding the improvement of translation quality in an increasingly interconnected world Through the adoption of innovative methodologies and technologies, the goal of achieving more accurate and contextually appropriate translations becomes increasingly attainable, facilitating more effective cross cultural communication and understanding
کلیدواژهها
نویسندگان
Leila Khademolhosseini
Department of foreign languages , Isfahan Khorasgan Branch, Islamic Azad University, Isfahan,Iran
شیوه ارجاع
Khademolhosseini, Leila,1402,Investigating challenges related to machine translation and introducing possible solutions to improve translation quality,18th International Conference on Language , Literature , Culture and History Studies
ارائهشده در
مجموعه مقالات هجدهمین کنفرانس بین المللی مطالعات زبان، ادبیات، فرهنگ و تاریخ25 اسفند 1402