MAP Lexicon is Useful for Segmentation and Word Discovery in Child Directed Speech
نویسنده
چکیده
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.
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تاریخ انتشار 1999