Since they cluster terms through statistical measures of context similarities, these tools exploit recurring situations. Since single-word terms denote broader concepts than multi-word terms, they appear more frequently in corpora and are therefore more appropriate for statistical clustering. The contribution of this paper is to propose an integrated platform for computer-aided term extraction and structuring that results from the combination of LEXTER, a Term Extraction tool (Bouriganlt et al., 1996), and FASTR 1, a Term Normalization tool (Jacquemin et al., 1997). .
