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Amiri, Niloufar, Beikian, Ali. (1404). Google Translate and Microsoft Bing Translator’s Challenges in Rendering Albert Camus's The Stranger from English to Persian. نشریه علمی دانشگاه سیستان و بلوچستان, (), -. doi: 10.22111/ijals.2025.50602.2487
Niloufar Amiri; Ali Beikian. "Google Translate and Microsoft Bing Translator’s Challenges in Rendering Albert Camus's The Stranger from English to Persian". نشریه علمی دانشگاه سیستان و بلوچستان, , , 1404, -. doi: 10.22111/ijals.2025.50602.2487
Amiri, Niloufar, Beikian, Ali. (1404). 'Google Translate and Microsoft Bing Translator’s Challenges in Rendering Albert Camus's The Stranger from English to Persian', نشریه علمی دانشگاه سیستان و بلوچستان, (), pp. -. doi: 10.22111/ijals.2025.50602.2487
Amiri, Niloufar, Beikian, Ali. Google Translate and Microsoft Bing Translator’s Challenges in Rendering Albert Camus's The Stranger from English to Persian. نشریه علمی دانشگاه سیستان و بلوچستان, 1404; (): -. doi: 10.22111/ijals.2025.50602.2487

Google Translate and Microsoft Bing Translator’s Challenges in Rendering Albert Camus's The Stranger from English to Persian

Iranian Journal of Applied Language Studies
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 25 فروردین 1404
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijals.2025.50602.2487
نویسندگان
Niloufar Amiri1؛ Ali Beikian* 2
1MA Student of Linguistics, Department of English Language, Chabahar Maritime University, Chabahar, Iran
2Department of English Language, Chabahar Maritime University
چکیده
Machine translation (MT) of literary texts presents unique challenges due to their stylistic complexity and cultural nuances. This study evaluated the performance of Google Translate (GT) and Microsoft Bing Translator (MBT) in translating Camus’s The Stranger from English to Persian. Data collection for this study involved automated evaluation, using the Bilingual Evaluation Understudy (BLEU) metric, and human evaluation, conducted by three human experts using the Localization Industry Standards Association (LISA) rubric. The results showed that GT significantly outperforms MBT across nearly all dimensions. GT achieved a BLEU score of 21.57 compared to MBT’s 6.36, with superior n-gram precision at all levels. The human evaluation phase also revealed GT’s fewer critical and major errors in almost all categories as compared to MBT. However, both systems struggled to preserve the aesthetic and philosophical richness of The Stranger. These findings highlight the persistent limitations of MT in literary translation, particularly for linguistically distant pairs like English and Persian. While MT shows potential as a supplementary tool, it remains unsuitable as a replacement for human translators in capturing the depth and artistry of literary works.
کلیدواژه‌ها
Google Translate؛ literary translation؛ machine translation challenges؛ Microsoft Bing Translator؛ Persian translation
آمار
تعداد مشاهده مقاله: 14


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