  The paper presents a method for word sense disambiguation based on parallel
corpora. The method exploits recent advances in word alignment and word
clustering based on automatic extraction of translation equivalents and being
supported by available aligned wordnets for the languages in the corpus. The
wordnets are aligned to the Princeton Wordnet, according to the principles
established by EuroWordNet. The evaluation of the WSD system, implementing the
method described herein showed very encouraging results. The same system used
in a validation mode, can be used to check and spot alignment errors in
multilingually aligned wordnets as BalkaNet and EuroWordNet.
