Automatic Inference of DATR Theories
| dc.creator | Barg, Petra | |
| dc.date | 1996-01-04 | |
| dc.date.accessioned | 2026-07-07T09:10:05Z | |
| dc.date.available | 2026-07-07T09:10:05Z | |
| dc.description | This paper presents an approach for the automatic acquisition of linguistic knowledge from unstructured data. The acquired knowledge is represented in the lexical knowledge representation language DATR. A set of transformation rules that establish inheritance relationships and a default-inference algorithm make up the basis components of the system. Since the overall approach is not restricted to a special domain, the heuristic inference strategy uses criteria to evaluate the quality of a DATR theory, where different domains may require different criteria. The system is applied to the linguistic learning task of German noun inflection. | |
| dc.description | Latex 10 pages, 1 Postscript figure. To appear in H.-H. Bock, W. Polasek (eds.) Data Analysis and Information Systems: Statistical and conceptual approaches (Proceedings of the 19th Annual Conference of the Gesellschaft fuer Klassifikation e.V., University of Basel), Springer Verlag, pp. 506-515 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9601001 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9601001 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151255 | |
| dc.subject | Computation and Language | |
| dc.title | Automatic Inference of DATR Theories | |
| dc.type | text |