Abstract
We discuss the automated construction of a translation mechanism capable of translating from any given textual input into some preferred logical notation. By constructing a syntax tree for the input text, we can augment it with semantic features through a data-flow analysis, in such a way that the parser in the shape of a (DCG) Prolog program may be extracted immediately. Over the years, our methods building on those principles, have been developed so that they seem to be mature for manipulating normal complicated texts meant for human communication now. Here scientific abstracts seem to be very interesting. We shall discuss the analysis of a particular scientific abstract, namely that from an article by M. Sergot et al. [10]. A highly tentative comparison is made with several important alternative approaches, known from the scientific literature.
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References
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Koch, G. (2000). A Rigoristic and Automated Analysis of Texts Applied to a Scientific Abstract by Mark Sergot and Others. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_12
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DOI: https://doi.org/10.1007/3-540-45323-7_12
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