Dutch Sublanguage Semantic Tagging combined with Mark-Up Technology

In this paper, we want to show how the morphological component of an existing NLP-system for Dutch (Dutch Medical Language Processor DMLP) has been extended in order to produce output that is compatible with the language independent modules of the LSP-MLP system (Linguistic String Project Medical Language Processor) of the New York University. The former can take advantage of the language independent developments of the latter, while focusing on idiosyncrasies for Dutch. This general strategy will be illustrated by a practical application, namely the highlighting of relevant information in a patient discharge summary (PDS) by means of modern HyperText Mark-Up Language (HTML) technology. Such an application can be of use for medical administrative purposes in a hospital environment.