The aim of this paper is to present an algorithm that automatically segment a text in prosodic chunks for a dictation by conforming to the rules and procedures used in real settings to dictate a text to primary school children. A better understanding and modeling of these rules and procedures is crucial to develop robust automatic tools that could be used in autonomy by children to improve their spelling skills through dictation with the use of speech synthesis. The different steps used to derive the prosodic chunks from a given text will be explained through concrete examples. The proposal made here relies on the analysis of a corpus of 10 dictations given to children in French and French Canadian elementary schools, and more precisely during their first three years in elementary school (i.e., cycle 2 in the French school system). The phrasing observed in the data is described. It is thus simplified in order to develop an algorithm that automatically generates prosodic chunks from texts.