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We describe an incremental unsupervised procedure to learn words from transcribed continuous speech. The algorithm is based on a conservative and traditional statistical model, and results of empirical tests show that it is competitive with other algorithms that have been proposed recently for this task.
* Proceedings of the eighteenth international conference on machine
learning, ICML-01, pp.569--576, 2001 * Expanded version of this paper appears in Computational Linguistics
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