Patent №
US 8,219,386
Granted
2012-07-10
Filed 2009
Owner
KING FAHD UNIV. OF PETROLEUM & MINERALS
Lab
—
AI components
2
nlp · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12320196
The Arabic poetry meter identification system and method produces coded Al-Khalyli transcriptions of Arabic poetry. The meters (Wazn, Awzan being forms of the Arabic poems units Bayt, Abyate) are identified. A spoken or written poem is accepted as input. A coded transcription of the poetry pattern forms is produced from input processing. The system identifies and distinguishes between proper spoken poetic meter and improper poetic meter. Error in the poem meters (Bahr, Buhur) and the ending rhyme pattern, “Qafiya” are detected and verified. The system accepts user selection of a desired poem meter and then interactively aids the user in the composition of poetry in the selected meter, suggesting alternative words and word groups that follow the desired poem pattern and dactyl components. The system can be in a stand-alone device or integrated with other computing devices.
AI classification
Ownership
KING FAHD UNIV. OF PETROLEUM & MINERALS
assignment · 221960001
Assignors
SALEH, AL-ZAHRANI ABDUL KAREEM, ELSHAFEI, MOUSTAFA
On an employer assignment, the assignors are typically the inventors.