For microaveraging, we compute a separate confusion matrix for each word type on the French side, compute P/R/F for each of these separately, and then average the results.
(micro-F is not a function of micro-P and micro-R.) The AUC and macro-averaged scores give a sense of how well the system is doing on a type-level basis (essentially weighted by type frequency), while the micro-averaged scores give a sense as to how well the system is doing on individual types, not taking into account their frequencies.