Kelleher, John D. and van Genabith, Josef (2006) A computational model of the referential semantics of projective prepositions. In: Syntax and semantics of prepositions. Text, speech and langauge technology, 29 . Kluwer, pp. 211-228. ISBN 1-4020-3873-9
Abstract
In this paper we present a framework for interpreting locative expressions containing the prepositions in front of and behind. These prepositions have different semantics in the viewer-centred and intrinsic frames of reference (Vandeloise, 1991). We define a model of their semantics in each frame of reference. The basis of these models is a novel parameterized continuum function that creates a 3-D spatial template. In the intrinsic frame of reference the origin used by the continuum function is assumed to be known a priori and object occlusion does not impact on the applicability rating of a point in the spatial template. In the viewer-centred frame the location of the spatial template’s origin is dependent on the user’s perception of the landmark at the time of the utterance and object
occlusion is integrated into the model. Where there is an ambiguity with respect to the intended frame of reference, we define an algorithm for merging the spatial templates from the competing frames of reference, based on psycholinguistic observations in (Carlson-Radvansky, 1997).
Metadata
Item Type: | Book Section |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Semantics; prepositions |
Subjects: | Computer Science > Machine translating |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Publisher: | Kluwer |
Official URL: | http://www.springerlink.com/content/v2166873087n03... |
Copyright Information: | © 2006 Springer-Verlag. The original publication is available at www.springerlink.com |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 16165 |
Deposited On: | 16 May 2011 13:28 by Shane Harper . Last Modified 19 Jul 2018 14:53 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record