Computer understanding of texts in Natural Language consists of morphological, syntactic and semantic analysis phases. In this study understanding and solving arithmetic problems is taken a base study in Natural Language Processing. Data is modelled as semantic networks and problem texts are shown as frames in semantic analysis. This model is tested by students’ problem solving strategies with a correspondence tool and it is seen that the performance of the system is achieved over accuracy 90% in Turkish Language.