A phonological approach to the unsupervised learning of root-and-pattern morphology

Verfasser / Beitragende:
[Aris Xanthos]
Ort, Verlag, Jahr:
2018
Enthalten in:
Shaping Phonology, 309-327
Format:
Artikel
ID: 528788019
LEADER naa a22 4500
001 528788019
003 CHVBK
005 20180924065505.0
008 180924e201808 xx 000 0 eng
035 |a (SERVAL)BIB_89D7F2B729B9 
100 1 |a Xanthos  |D Aris 
245 1 2 |a A phonological approach to the unsupervised learning of root-and-pattern morphology  |c [Aris Xanthos] 
520 3 |a 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. 
773 0 |t Shaping Phonology  |d Chicago: University of Chicago Press, 2018-08  |g 309-327  |q ::<309-327  |1 2018 
908 |D 1  |a incollection  |2 serval 
950 |B SERVAL  |P 100  |E 1-  |a Xanthos  |D Aris 
950 |B SERVAL  |P 773  |E 0-  |t Shaping Phonology  |d Chicago: University of Chicago Press, 2018-08  |g 309-327  |q ::<309-327  |1 2018 
898 |a BK010000  |b XK010000  |c XK010000 
949 |B SERVAL  |F SERVAL  |b SERVAL  |j incollection