The paper describes an algorithm that employs English and French text taggers to associate noun phrases in an aligned bilingual corpus. The taggets provide part-of-speech categories which are used by finite-state recognizers to extract simple noun phrases for both languages. Noun phrases are then mapped to each other using an iterative re-estimation algorithm that bears similarities to the Baum-Welch algorithm which is used for training the taggers.