Automatic Inference of DATR Theories

Petra Barg

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arXiv · cmp-lg/9601001

Automatic Inference of DATR Theories

Petra Barg

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Abstract

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.

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Petra Barg. 1996-01-04. Automatic Inference of DATR Theories. https://arxiv.org/abs/cmp-lg/9601001

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