Abstract
Poetry is an important art form in human history. Many poems have been written to share emotions, express pride or gratitude, declare or resolve conflicts, among others. Writing good poetry requires expertise. Understanding the structure of a poem helps poets better choose words and phrases that reflect their ideas. Identifying the meter of a poem helps in teaching new poets the different compositions they have at their disposal while also providing an easy way for professionals to detect broken poetry. This work investigates various efforts from the literature that tackled poetry meter classification, focusing on poetry written in Arabic. Different gaps in research have been identified including the need for proper analysis on the effects of diacritization on individual meters, the limited amount of research in spoken poetry due to scarce public datasets, and the need of further investigations regarding similar and rare poetry meters. We conclude with recommendations for dataset creation and modeling strategies to close these gaps and outline directions for future research in Arabic poetry meter classification.
| Original language | English |
|---|---|
| Title of host publication | 2026 IEEE 5th International Conference on Computing and Machine Intelligence, ICMI 2026 |
| Editors | Ahmed Abdelgawad, Akhtar Jamil, Alaa Ali Hameed |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331588540 |
| DOIs | |
| State | Published - 2026 |
| Event | 5th International Conference on Computing and Machine Intelligence, ICMI 2026 - Al-Ahsa, Saudi Arabia Duration: 8 Apr 2026 → 10 Apr 2026 |
Publication series
| Name | 2026 IEEE 5th International Conference on Computing and Machine Intelligence, ICMI 2026 |
|---|
Conference
| Conference | 5th International Conference on Computing and Machine Intelligence, ICMI 2026 |
|---|---|
| Country/Territory | Saudi Arabia |
| City | Al-Ahsa |
| Period | 8/04/26 → 10/04/26 |
Bibliographical note
Publisher Copyright:© 2026 IEEE.
Keywords
- Arabic Poetry
- Arudi Prosody
- Audio-Based
- Neural-based
- Poetry Dataset
- Poetry Meter Classification
- Quality Education
- Rule-based
- Spoken Poetry
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Safety, Risk, Reliability and Quality
- Control and Optimization
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