Alemayehu, Nega (PhD)Bayou, Abiyot2020-05-262023-11-182020-05-262023-11-182000-05http://etd.aau.edu.et/handle/12345678/21312Most of the human knowledge is recorded using natural language. This language is too complex to be understood by computers. Only computers that have the capability to understand Natural language can access all these information efficiently. in addition, Natural Language interfaces to computers would allow complex systems to he accessible to everyone. Activities in the area of Natural Language Process ing tries to design and implement computer programs that can understand Natu ral I"anguagc and act appropriate ly on the infol111ation contained in the text or utterance. Enabl ing computers to understand natural language involves extraction of mea ning from words in texts. Word parsing is a process of extracting the meaning expressed by the 0rds of a text by to kenis in words to their basic components. This study is an attempt o f des igning and implementing word parser for Amhari c words. The study focuses on Amhari c verbs illldthe ir derivations, which covers more th an 75% of the words in the language. The paper describes the morpho logy of Amharic verbs and attempts to extract features that enables to implement automattc Amhari c word parser. The morphological data described and analyses in this study is taken from study outputs in the area of Amharic word morphology. An algorithm that can use the morphological property of the language has been designed and presented. Even tho ugh this studly focuses on Amharic verbs and their derivations the algorithm and the discuss ion can be easily ext ended I(lr other word groups. The study also describes the information contained in affixes and designs a database that can hold this information for word parsing and further analysis works.enDesign and DevelopmentAmharic Word ParserThesis