ARABIC POETRY METER IDENTIFICATION SYSTEM AND METHOD

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

Natural language1.00
Speech1.00
AI hardware0.03
Knowledge representation0.03
Vision0.02
Planning0.01
Machine learning0.01
Evolutionary computation0.00

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.

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