2022
EMNLP
EMNLP 2022
Generating Classical Arabic Poetry using Pre-trained Models
Abstract
AbstractPoetry 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.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Natural Language Processing
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Keyword Pioneer
— classical poetry
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Foundation Models
Deep Learning > Models > Generative Models
Natural Language Processing > Generation > Text Generation
Artificial Intelligence > Core AI > Language
Deep Learning > Learning Types > Generative Models
Deep Learning > Models > Language Models
Artificial Intelligence > Core AI > Natural Language Generation