Generating Classical Arabic Poetry using Pre-trained Models

Nehal Elkaref, Mervat Abu-Elkheir, Maryam ElOraby, Mohamed Abdelgaber

Abstract: Poetry generation tends to be a complicated task given meter and rhyme constraints. Previous work resorted to exhaustive methods in-order to employ poetic elements. In this paper we leave pre-trained models, GPT-J and BERTShared to recognize patterns of meters and rhyme to generate classical Arabic poetry and present our findings and results on how well both models could pick up on these classical Arabic poetic elements.