naa a22 4500 528788019 CHVBK 20180924065505.0 180924e201808 xx 000 0 eng (SERVAL)BIB_89D7F2B729B9 Xanthos Aris A phonological approach to the unsupervised learning of root-and-pattern morphology [Aris Xanthos] This contribution describes an algorithm for the unsupervised learning of root-and-pattern morphology. The algorithm relies on a phonological heuristic to bootstrap the morphological analysis and identify a preliminary set of reliable roots and patterns. The analysis is then incrementally extended based on the minimum description length principle, in line with the approach to morphological learning embodied in John Goldsmith's Linguistica algorithm. The algorithm is implemented as a computer program named Arabica and evaluated with regard to its ability to learn the system of Arabic noun plurals. The tension between the universality of the consonant-vowel distinction and the specificity of root-and-pattern morphology turns out to be crucial for understanding the strengths and weaknesses of this approach. Shaping Phonology Chicago: University of Chicago Press, 2018-08 309-327 ::<309-327 2018 1 incollection serval SERVAL 100 1- Xanthos Aris SERVAL 773 0- Shaping Phonology Chicago: University of Chicago Press, 2018-08 309-327 ::<309-327 2018 BK010000 XK010000 XK010000 SERVAL SERVAL SERVAL incollection