Brian Peterson


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Deriving semantic knowledge from descriptive texts using an MT system
Eric Nyberg | Teruko Mitamura | Kathryn Baker | David Svoboda | Brian Peterson | Jennifer Williams
Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers

This paper describes the results of a feasibility study which focused on deriving semantic networks from descriptive texts using controlled language. The KANT system [3,6] was used to analyze input paragraphs, producing sentence-level interlingua representations. The interlinguas were merged to construct a paragraph-level representation, which was used to create a semantic network in Conceptual Graph (CG) [1] format. The interlinguas are also translated (using the KANTOO generator) into OWL statements for entry into the Ontology Works electrical power factbase [9]. The system was extended to allow simple querying in natural language.