If meaningful paragraphs are present in the text, those paragraphs usually tend to represent either narrative sections or dialogue sections. As it is unlikely that a narrative section contains DS at all, this knowledge can be used to adapt the recognizer rules. However if no such paragraphs are available, the algorithm starts by reconstructing surrogate sections, using the concept of “coherence” between narrative perspective and tempus. It is determined whether the sentence contains first/second or third person pronouns and which tense is used. If consecutive sentences agree on both, they belong to the same segment. If the narrative perspective is in third person and the dominant tense is past, the segment is categorized as ‘narrative’. Inside those sections a penalty is introduced, so that more than a single weak indicator has to be found to assume DS.