MAP Lexicon is useful for segmentation and word discovery in child-directed speech

Because of rather fundamental changes to the underlying model proposed in the paper, it has been withdrawn from the archive.Comment: Because of rather fundamental changes to the underlying model proposed in the paper, it has been withdrawn from the archive

Map lexicon is useful for segmentation and word discovery in child directed speech. unpublished

An efficient algorithm for segmenting child-directed speech into words has recently been proposed in the Machine Learning journal. This short technical note proposes some modifications to this algorithm. In particular, a slightly more conservative variation of the original approach is proposed that infers word boundaries based simply on the maximum a-posteriori lexicon. Results of empirical tests illustrating the value of the proposed modifications are also presented