Weighted scalar constraints capture the typology of loanword adaptation
Author(s) -
Brian Hsu,
Karen Jesney
Publication year - 2018
Publication title -
proceedings of the annual meetings on phonology
Language(s) - English
Resource type - Journals
ISSN - 2377-3324
DOI - 10.3765/amp.v5i0.4246
Subject(s) - typology , optimality theory , vocabulary , computer science , ranking (information retrieval) , linguistics , constraint (computer aided design) , focus (optics) , scalar (mathematics) , natural language processing , loanword , grammar , mathematics , artificial intelligence , sociology , phonology , philosophy , geometry , physics , anthropology , optics
This paper discusses three basic ways in which loanwords pattern differently than native vocabulary, with a particular focus on the implicational relationships that hold among generalizations that apply at different degrees of nativization. We argue that the overall typology and the effects of the core-periphery structure are best modeled if constraints are weighted as in Harmonic Grammar (Legendre, Miyata & Smolensky 1990), and violation scores are scaled according to degree of nativization. The implicational patterns of repair versus non-repair are predicted from basic patterns of interaction among scalar constraints, obviating the need for the kinds of ranking metaconditions required in ranked-constraint alternatives.
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