Abstract
Metallel is a program that incorporates marker passing techniques within a preference/collative semantics framework. This allows for the simultaneous generation of literal and non-literal meaning representations, while allowing for a much greater degree of parallelism during processing. In addition, we have integrated metonymic and metaphoric inferencing into one procedure, arguing that at least some types of metaphor can be represented as parallel metonymies. A number of examples are presented which show that metallel's output is roughly equivalent to conventional, rule-based approaches to metonymy.
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