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Morphological analayzer is an important component of most natural language processing tasks. It is 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. It is used to analyze surface word forms, which are the ones that are found in everyday communication, is the segmentation of words into their component morphemes and the assignment of grammatical morphemes to grammatical categories and lexical morphemes to lexemes. In addition, morphological analysis systems are used as components in many applications, including machine translation, spell-checker, speech recognition, lexicon compilation, POS tagging, conversational systems, automatic sentence construction and many others. This paper presents the development of a rule-based Morphological analyzer with Finite State Transducer Techniques. It is only focuse on nouns and adjectives.