This paper presents two tools allowing a reliable semi-automatic labelling of large corpora : an automatic HMM-based labelling tool and an assessment and decision system to validate the automatically labelled sentences. This decision system uses the results supplied by another automatic labeller and compares their results with a parametrisable comparison process. We also propose an generic methodology to improve the labelling accuracy and to reduce the step of manual verification.