title: Learnability and generalisation of Arabic broken plural nouns.
abstract: The noun plural system in Modern Standard Arabic lies at a nexus of critical issues in morphological learnability. The suffixing "sound" plural competes with as many as 31 non-concatenative "broken" plural patterns. Our computational analysis of singular-plural pairs in the Corpus of Contemporary Arabic explores what types of linguistic information are statistically relevant to morphological generalisation for this highly complex system. We show that an analogical approach with the generalised context model is highly successful in predicting the plural form for any given singular form. This model proves to be robust to variation, as evidenced by its stability across 10 rounds of cross-validation. The predictive power is carried almost entirely by the CV template, a representation which specifies a segment's status as a consonant or vowel only, providing further support for the abstraction of prosodic templates in the Arabic morphological system as proposed by McCarthy and Prince.
authors.affiliation: Department of Linguistics, Northwestern University , 2016 Sheridan Road, Evanston , IL 60202-0854 , USA.
authors.forename: Lisa Garnand
authors.initials: LG
authors.lastname: Dawdy-Hesterberg
authors.affiliation: Department of Linguistics, Northwestern University , 2016 Sheridan Road, Evanston , IL 60202-0854 , USA.
authors.forename: Janet Breckenridge
authors.initials: JB
authors.lastname: Pierrehumbert
keywords: Arabic broken plural; abstract template; computational model; statistical learning