Word segments are relevant cues for the automatic acquisition of semantic relationships from morphologically related words. Indeed, morphemes are the smallest meaning-bearing units. We present an unsupervised method for the segmentation of words into sub-units devised for this objective. The system relies on segment predictability to discover a set of prefixes and suffixes and performs word segments alignment to detect morpheme boundaries.