  This paper explores the automatic construction of a multilingual Lexical
Knowledge Base from preexisting lexical resources. First, a set of automatic
and complementary techniques for linking Spanish words collected from
monolingual and bilingual MRDs to English WordNet synsets are described.
Second, we show how resulting data provided by each method is then combined to
produce a preliminary version of a Spanish WordNet with an accuracy over 85%.
The application of these combinations results on an increment of the extracted
connexions of a 40% without losing accuracy. Both coarse-grained (class level)
and fine-grained (synset assignment level) confidence ratios are used and
evaluated. Finally, the results for the whole process are presented.
