hci-lab/LearningMetersPoems
Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Implements meter classification for Arabic and English poetry using stacked RNNs, with custom web scraping pipelines to build a 1.5M+ verse dataset spanning both languages. The codebase separates language-specific preprocessing (Arabic_Poetry, English_Poetry folders) from RNN architecture training, enabling comparative analysis of metrical pattern recognition across morphologically distinct languages. Includes web interface and full dataset publication for reproducible computational poetry research.
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