Error Analysis of Pretrained Language Models (PLMs) in English-to-Arabic Machine Translation

Abstract Advances in neural machine translation utilizing pretrained language models (PLMs) have shown promise in improving the translation quality between diverse languages. However, translation from English to languages with complex morphology, such as Arabic, remains challenging. This study inves...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Hend Al-Khalifa, Khaloud Al-Khalefah, Hesham Haroon
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Springer Nature 2024-02-01
سلاسل:	Human-Centric Intelligent Systems
الموضوعات:	Machine translation Pretrained large language models Translation studies GPT Arabic language
الوصول للمادة أونلاين:	https://doi.org/10.1007/s44230-024-00061-7
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!