This paper presents a study of the links between punctuation and automatically detected prosodic structures, as observed on large speech corpora that were manually annotated during French speech transcription evaluation campaigns. These corpora contain more than 3 million words and almost 350 thousands punctuation marks. The detection of the prosodic boundaries and of the prosodic structures is based on an automatic approach that integrates little linguistic knowledge and mainly uses the amplitude and the direction of the F0 slopes as described in [1], as well as phone durations. The paper first analyzes the occurrences of the punctuation marks with respect to various sub-corpora, which also highlights the variability among annotators. Then, we focus on analyzing prosodic parameters with respect to the punctuation marks, followed or not by a pause, and on analyzing the links between the automatically detected prosodic structures and the manually annotated punctuation marks.