Inverse and symmetrical voice: On languages with two transitive constructions

In voice and alignment typology, a categorical distinction is generally made between inverse systems on the one hand and symmetrical voice systems on the other. A major reason for distinguishing between these two types is the assumption that inverse systems are governed by a hierarchy involving grammatical, semantic, and ontological criteria, while symmetrical voice systems are based on discourse-pragmatic factors. However, the two types also have several important properties in common, in particular the fact that they have more than one nonderived transitive construction. Based on data from three native languages of South America, we show that the line between the two types is not always easy to draw, and that features of the inverse type can coexist with those of the symmetrical-voice type in the same language.

Picture analysis by graph transformation,

"Supported in part by the Department of Computer Science and the Atomic Energy Commission under contract US AEC AT(11-1)2118."

Graph transformations for composite formation,

"C00-1018-1195."

On algorithms for finding all circuits of a graph

Bibliography: p. [37]-[39]

Analysis of algorithms for finding all spanning trees of a graph.

"Supported in part by the following grants: US NSF GJ 217, US NSF GJ 812, and project BUILD."

Studies in graph algorithms : generation and labeling problems /

Thesis--Illinois.

A graph-structure transformation model for picture parsing,

"COO-2118-0031."

Pánta ta kat' exoch?n kaloumena Biblia Theias d?lad? Graph?s palaias te, kai neas = Sacrae scripturae veteris nouaéque omnia.

CCBE S. XVI,

Peri to O, hermēneutōn tēs Palaias Theias Graphēs vivlia 4.

Mode of access: Internet.

Unit graph and loss rate optimization : Hydrologic Engineering Center computer program 23-J2-L211.

At head of title : Generalized computer program.

Unit graph and hydrograph computation : Hydrologic Engineering Center computer program 23-J2-L228.

At head of cover title : Generalized computer program.

Understanding human genome regulation through entropic graph-based regularization and submodular optimization

Thesis (Ph.D.)--University of Washington, 2016-06

Graph-based Semi-Supervised Learning in Acoustic Modeling for Automatic Speech Recognition

Thesis (Ph.D.)--University of Washington, 2016-06

Aspects of Markov Chains and Particle Systems

Thesis (Ph.D.)--University of Washington, 2016-06

Formal group laws and hypergraph colorings

Thesis (Ph.D.)--University of Washington, 2016-06