  We present an algorithm that acquires words (pairings of phonological forms
and semantic representations) from larger utterances of unsegmented phoneme
sequences and semantic representations. The algorithm maintains from utterance
to utterance only a single coherent dictionary, and learns in the presence of
homonymy, synonymy, and noise. Test results over a corpus of utterances
generated from the Childes database of mother-child interactions are presented.
