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A set of 418 Mini-Mental State Examinations (MMSE) is analysed with the goal of identifying linguistic markers for discriminating between Alzheimer's Disease and Vascular Dementia. The markers are identified by automatically annotating the sentence writing question of the MMSE with syntactic information. 101 variables are extracted from the annotations which are compared with the MMSE questions for information about the diagnosis. Out of the 101 variables, 14 are identified which are within thedoi:10.1016/j.procs.2013.09.101 fatcat:gvmlmudnxngqrdcy4btpwy4jpm