title: A language classifier that automatically divides medical documents for experts and health care consumers.
abstract: We propose a pipelined system for the automatic classification of medical documents according to their language (English, Spanish and German) and their target user group (medical experts vs. health care consumers). We use a simple n-gram based categorization model and present experimental results for both classification tasks. We also demonstrate how this methodology can be integrated into a health care document retrieval system.
authors.affiliation: Jena University Language & Information Engineering Lab, Jena, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Poprat
authors.forename: Kornél
authors.initials: K
authors.lastname: Markó
authors.forename: Udo
authors.initials: U
authors.lastname: Hahn
mesh_terms: D005858:Germany; D016247:Information Storage and Retrieval / Q000379:methods*; D007802:Language; D008490:Medical Informatics / Q000458:organization & administration*