TY  - BOOK
AU  - Kiefer,Ferenc
AU  - Blevins,James P.
AU  - Bartos,Huba
ED  - International  Morphology Meeting
TI  - Perspectives on morphological organization data and analyses
T2  - Empirical approaches to linguistic theory,
SN  - 9789004342934
AV  - P241 
U1  - 415/.9 23
PY  - 2017///]
CY  - Leiden, Boston
PB  - Brill
KW  - Grammar, Comparative and general
KW  - Morphology
KW  - Congresses
N1  - Selection of papers presented at the 16th International  Morphology Meeting held in Budapest, from May 31 through June 3, 2014; Includes bibliographical references and index; Preliminary Material --; Editors’ Introduction; Ferenc Kiefer , James P. Blevins and Huba Bartos --; Polyfunctionality and the Variety of Inflectional Exponence Relations; Gregory Stump --; Verb Morphology and Conjugation Classes in Dunan (Yonaguni); Thomas Pellard and Masahiro Yamada --; Inflection Classes in Transitional Libyan Arabic (tla); Noura Ramli --; Person Agreement on Converbs in Udmurt; Ekaterina Georgieva --; Paradigm Leveling: The Decay of Consonant Alternations in Russian; Varvara Magomedova and Natalia Slioussar --; The Zipfian Paradigm Cell Filling Problem; James P. Blevins , Petar Milin and Michael Ramscar --; Paradigm Realization and the Lexicon; Géraldine Walther --; The Possible Role of Entropy in Processing Argument Dependencies in Hungarian; Csaba Pléh , István Fekete and Dániel Varga --; A Functional Theory of Gender Paradigms; Melody Dye , Petar Milin , Richard Futrell and Michael Ramscar --; Index; Available to subscribing member institutions only
N2  - This volume contains a selection of recent theoretical studies, deriving from presentations at the 16th International Morphology Meeting (Budapest, 2014), on the organization of morphological paradigms, paradigm complexity, and the inflectional marking of morphosyntactic relations, as well as on the application of information theory to the analysis of morphological systems aiming to achieve a clearer understanding of the close relation between notions of ‘morphological information’ based on ‘uncertainty’ and ‘uncertainty reduction’ and the error-driven structure of discriminative learning models
UR  - http://dx.doi.org/10.1163/9789004342934
ER  -