Generating Multilingual Proofs

نویسندگان

  • Xiaorong Huang
  • Armin Fiedler
چکیده

This paper outlines the microplanner of PROVERB, a system that generates multilingual text from machine-found mathematical proofs. The main representational vehicle is the text structure proposed by Meteer. Following Panaget, we also distinguish between the ideational and the textual semantic categories, and use the upper model to replace the former. Based on this, a further extension is made to support aggregation before realization decisions are made. While our the framework of our macroplanner is kept language independent , our microplanner draws on language speciic linguistic sources such as realization classes and lexicon. Since English and German are the rst two languages to be generated and because the sublanguage of our mathematical domain is relatively limited, the upper model and the textual semantic categories are designed to cope with both languages. Since the work reported is still in progress, we also discuss open problems we are facing.

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تاریخ انتشار 1995