A Language Classifier that Automatically Divides Medical Documents for Experts and Health Care Consumers


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… (More)
DOI: 10.3233/978-1-58603-647-8-503


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