Abstract
Context-dependent interpretation has taken centerstage in the theatre of language interpretation. The interpretation of personal pronouns, for example, is known to depend on the linguistic as well as the nonlinguistic environment in which they appear. Moreover, it has become clear that very similar kinds of dependence on context apply to many other phenomena including, among other things, the contextually restricted interpretation of a full Noun Phrase, the determination of the ‘comparison set’ relevant for the interpretation of a semantically vague predicate, the determination of so-called ‘implicit arguments’ of words like local and contemporary. (For references to the literature, see [van Deemter and Odijk, 1997].) Inspired by this growing body of work, dependence on linguistic context has become the cornerstone of the so-called dynamic theories of meaning (e.g. [Kamp and Reyle, 1994]). These theories characterize the meaning of a sentence as its potential to change one ‘information state’ into another, and it is this dynamic perspective on which current natural-language interpreting systems are beginning to be based.
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van Deemter, K., Odijk, J. (2000). Formal and Computational Models of Context for Natural Language Generation. In: Bonzon, P., Cavalcanti, M., Nossum, R. (eds) Formal Aspects of Context. Applied Logic Series, vol 20. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9397-7_1
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DOI: https://doi.org/10.1007/978-94-015-9397-7_1
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