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Register a new userItihasa: A large-scale corpus for Sanskrit to English translation
Itihasa: كوربوس واسعة النطاق ل Sanskrit to الإنجليزية Translation
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يقدم هذا العمل ITIHASA، مجموعة بيانات ترجمة واسعة النطاق تحتوي على 93،000 زوج من Sanskrit Shlokas وترجماتها الإنجليزية.يتم استخراج شلوكاس من اثنين من الملصفات الهندية بمعنى.، رامايانا وماهاوصفنا أولا الدافع وراء عمالة مثل هذه البيانات ومتابعة التحليل التجريبي لإظهار الفروق الدقيقة.ثم نقاشنا بعد أداء نماذج الترجمة القياسية في هذه الجثة وإظهار أنه حتى بديهيات المحولات الحديثة تؤدي بشكل سيء، مع التركيز على تعقيد مجموعة البيانات.
This work introduces Itihasa, a large-scale translation dataset containing 93,000 pairs of Sanskrit shlokas and their English translations. The shlokas are extracted from two Indian epics viz., The Ramayana and The Mahabharata. We first describe the motivation behind the curation of such a dataset and follow up with empirical analysis to bring out its nuances. We then benchmark the performance of standard translation models on this corpus and show that even state-of-the-art transformer architectures perform poorly, emphasizing the complexity of the dataset.
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