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.
Ferenc Kiefer, D.Sc., MHAS, is Emeritus Professor in the Research Institute for Linguistics (Hungarian Academy of Sciences). He has published several monographs and more than 40 journal articles throughout his career on various topics, primarily morphology, semantics, and pragmatics. He has also been editor-in-chief of a number of important journals and high-impact book series in linguistics.
James P. Blevins, Ph.D. (1990), University of Massachusetts, Amherst, is Reader in Morphology and Syntax at Cambridge University and Fellow in Linguistics at Homerton College. He has published on a range of morphological topics and his recent work includes a monograph on Word and Paradigm Morphology (Oxford University Press, 2016).
Huba Bartos, Ph.D. (2000), Eötvös Loránd University, Hungary, is senior research fellow in the Research Institute for Linguistics (Hungarian Academy of Sciences), and associate professor at Eötvös L. University. His research focus is morphosyntax, the syntax–semantics interface, and the grammar of Mandarin Chinese.
Contributors are: James P. Blevins, Melody Dye, István Fekete, Richard Futrell, Ekaterina Georgieva, Varvara Magomedova, Petar Milin, Thomas Pellard, Csaba Pléh, Noura Ramli, Michael Ramscar, Natalia Slioussar, Gregory Stump, Dániel Varga, Géraldine Walther, Masahiro Yamada.
Linguists interested in morphology, morphosyntax and theoretical linguistics in general, and in the role of paradigms, information theory and discriminative learning models.