Computational morphology is an important component of most natural language processing tasks. Morphological generation, the process of returning one or more surface forms from a sequence of underlying (lexical) forms, can provide fine-grained parts of speech information and help resolve necessary syntactic agreements. In addition, morphological synthesis systems are used as components in many applications, including machine translation, spell-checker, speech recognition, dictionary (lexicon) compilation, POS tagging, morphological analysis, conversational systems, automatic sentence construction and many others. This book describes processes of automated morphological synthesis ranging from manually synthesizing words to developing a prototype and conducting an experiment. The automated generation of word forms avoids the storage of exhaustive lexicons and thereby saves memory requirement. The development of such systems demand an in-depth study of the morphology of the language used.