Feature Geometry and Head-Splitting in the Wolof Clausal Periphery

This paper investigates the phenomenon of ‘classificatory verbs,’ i.e., a set of motion and positional verbs that show stem alternation depending on the semantic features of one of their arguments. The data is drawn mainly from Tłı̨chǫ Yatıì Multimedia Dictionary, Nicholas Welch’s field notes, and other documentary sources of the language. Tłı̨chǫ classificatory verbs are presented and analyzed in detail. The paper argues that Tłı̨chǫ Yatıì classificatory verbs belong to four semantic subclasses and that these subclasses show a decreasing degree of stem alternations related to argument classification. The inconsistency in stem alternation is triggered by the presence or absence of some semantic features that determine the number of stem allomorphs. Locative verbs are affected by the [COMFORT] feature, and the other three sets are influenced by [TRANSFER], [INITIAL AGENTIVE] and [FINAL AGENTIVE] features. Moreover, the paper outlines a semantic feature geometry that accounts for the observed regularities in classificatory verb stems and their possible variations intra- and cross-linguistically.

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Influence of photoresist feature geometry on ECR plasma-etched HgCdTe trenches

10.1117/12.451921 ◽

2002 ◽

Cited By ~ 2

Author(s):

J. David Benson ◽

Andrew J. Stoltz, Jr. ◽

Andrew W. Kaleczyc ◽

Mike Martinka ◽

Leo A. Almeida ◽

...

Keyword(s):

Ecr Plasma ◽

Feature Geometry

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Feature Geometry and Feature Spreading

From Memory to Speech and Back ◽

10.1515/9783110871258.196 ◽

2013 ◽

Author(s):

Morris Halle

Keyword(s):

Feature Geometry

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Feature Visualization

Volume 5: 17th Computers in Engineering Conference ◽

10.1115/detc97/cie-4274 ◽

1997 ◽

Author(s):

Jan Wouter Versluis ◽

Willem F. Bronsvoort ◽

Klaas Jan de Kraker ◽

Kees Seebregts

Keyword(s):

Feature Model ◽

Feature Models ◽

New Techniques ◽

Additional Information ◽

Model Image ◽

Feature Geometry ◽

Engineering Information ◽

Visualization Techniques ◽

Insight Into ◽

Feature Visualization

Abstract New techniques for visualizing feature models are presented. These do not only provide better geometric and spatial model insight than the standard display techniques, but also functional insight into a feature model by visualizing engineering information. Geometry is visualized by combining shaded and line visualization techniques, resulting in clearer images. Among the engineering information that is visualized are feature intersections, closure faces and feature parameters. This is done by explicitly displaying feature geometry instead of the geometry of the final shape only, and by displaying additional information in a model image. Combined, these techniques provide powerful possibilities to visualize feature models. The implementation uses specified feature and camera properties and a cellular geometric datastructure for generating images. The cellular data structure contains the feature geometry information required for feature visualization.

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