The present article describes AMP, a system for automated morphological processing of Ancient Greek word forms. It is considered a hybrid approach, combining pattern recognition techniques with limited linguistic knowledge to achieve accurate segmentation into stem and ending, and is expected to substantially contribute to the creation and/or enrichment of Greek morphological lexica. Though the current implementation concerns Attic dialect word forms, its modularity ensures its extensibility to other dialects and/or synchronies of the Greek language with minor modifications. AMP is initialised with a set of potential endings and through an iterative masking-and matching process expands the sets of possible stems and endings. Subsequently, a group of criteria is used for ranking all possible morphological analyses and determining the most likely segmentation of each word form. In comparison to other approaches, AMP explicitly models any stem-ending interactions during the word formation process, in order to improve segmentation accuracy.