The objective of this research is to provide an improved automated computational tool to study aphasic production. Using the speech production of Italian aphasic patients, the present study demonstrates the possibility of applying an integrated algorithm to automatically assess and generate error patterns typical of aphasic speech. Philological studies and aphasia studies share one common point: errors (or variants) are informative, and the intention of the authors (in the case of philology) or of the patients (in the case of aphasiology) is to be established. For this precise reason, the present study adapts a tool, originally used in computational philology for the alignment of textual variants (Boschetti, 2007, 2008), and puts it to use for assessing aphasic patient's speech error patterns. As is demonstrated, this tool is effective and analytical. The authors expect this to be beneficial for the use of analysing aphasic production in both clinical and academic settings. (Contains 12 tables.)