We limit ourselves to the use of simple bag-of-words models on which fuzzy and K-means clustering are applied.
the aim is twofold: firstly, the construction of a program which takes a segmented text as input and produces a categorization of sequences of clauses by clustering, based principally on POS-tags; secondly, the comparison of this clustering with the typology proposed by a human expert, corresponding to discourse types.