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Deriving Semantic Knowledge from Descriptive Texts Using an MT System

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Machine Translation: From Research to Real Users (AMTA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2499))

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Abstract

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.

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References

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© 2002 Springer-Verlag Berlin Heidelberg

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Nyberg, E., Mitamura, T., Baker, K., Svoboda, D., Peterson, B., Williams, J. (2002). Deriving Semantic Knowledge from Descriptive Texts Using an MT System. In: Richardson, S.D. (eds) Machine Translation: From Research to Real Users. AMTA 2002. Lecture Notes in Computer Science(), vol 2499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45820-4_15

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  • DOI: https://doi.org/10.1007/3-540-45820-4_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44282-0

  • Online ISBN: 978-3-540-45820-3

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