Morphological Typology: From Word to Paradigm by Gregory Stump

By Gregory Stump

During this appreciably new method of morphological typology, the authors set out new and particular tools for the typological type of languages. Drawing on facts from a various variety of languages together with Chinantec, Dakota, French, Fur, Icelandic, Ngiti and Sanskrit, the authors suggest cutting edge methods of measuring inflectional complexity. Designed to interact graduate scholars and educational researchers, the publication offers possibilities for additional research. The authors' facts units and the computational device that they built for his or her research can be found on-line, permitting readers to hire them of their personal examine. Readers can entry the net computational device via

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Extra resources for Morphological Typology: From Word to Paradigm

Example text

The static scheme for optimal principal-part sets Traditional principal-part analyses often employ the static scheme, in which the same set of MPSs identifies the optimal principal parts for every IC. 7. 8, in which the exponence of each principal part is shaded. This analysis follows the static scheme: the same three realized cells (the ρ-cell, the σ-cell, and the τ-cell) serve as principal parts in each IC. 7. 8 Static principal parts for system F i ii iii iv v vi ρ σ τ υ a b c c d d e e f g h h i i j j k l m m n n o o Shaded cells are static principal parts.

2008; Sinnemäki 2011) suggests that this feeling is not merely Principal parts in linguistic theory and in language typology 21 a naïve intuition, but actually correlates with objectively measurable properties of human language. Whether one can rank entire languages according to their complexity is (and will, we think, inevitably remain) a matter of debate, but this issue is ultimately irrelevant to the more tractable question of whether two IC systems (or other well-delineated grammatical subsystems) can differ in complexity.

We propose explicit settheoretic measures of these sorts in Chapters 4 and 5; in Chapters 10 and 11, we compare the measures with an alternative, information-theoretic measure. We believe that all of these measures are relevant as objective correlates of the notion of an IC system’s complexity. In the coming chapters, we introduce other correlates as well, ultimately combining them in a summary presentation of this notion in Chapter 11. 3. Some preliminary assumptions Our analyses of the complexity of IC systems rest on certain empirical assumptions about the nature of a language’s system of implicative relations; we present these assumptions here.

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