Abstract
As we strive for sophisticated machine translation and reliable information extraction, we have launched a subproject pertaining to the practical elaboration of “intensional” levels of discourse referents in the framework of a representational dynamic discourse semantics, the DRT-based [14] \({\Re}{\rm eALIS}\) [2], and the implementation of resulting representations within a complete model of communicating interpreters’ minds as it is captured formally in \({\Re}{\rm eALIS}\) by means of functions σ, α, λ and κ [5]. We show analyses of chiefly Hungarian linguistic data, which range from revealing complex semantic contribution of small affixes through pointing out the multiply intensional nature of certain (pre)verbs to studying the embedding of whole discourses in information state. An outstanding advantage of our method, due to our theoretical basis, is that not only sentences / discourses are assigned semantic representations but relevant factors of speakers’ information states can also be revealed and implemented.
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Alberti, G., Károly, M. (2012). Multiple Level of Referents in Information State. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2012. Lecture Notes in Computer Science, vol 7181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28604-9_29
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DOI: https://doi.org/10.1007/978-3-642-28604-9_29
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