Pattern Matching in Meter Detection of Arabic Classical Poetry

Arabic classical poetry meter is a sequence of patterns. A poetry verse is characterized by a meter and consists of two parts. Detecting classical poetry meter is important for teaching purposes, for poetry and prose categorization, for authorship recognition and for computational aesthetics.
Automatically detecting the meter of any single verse written as a normal sentence is challenging. We need a global approach that processes phonological verse preparation, deals with distinguishing the first part of the verse from the second, handles meters disambiguation and covers the verse parts concordance.
To tackle this challenge, we introduce a novel solution called the Arabic Meters Identification System (AMIS) that combines an exhaustive pattern data set, pattern matching and similarity. We evaluate our system on a vocalized poetry corpus and reach a precision of 99.3%.