A procedure for unsupervised lexicon learning

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Nov 30, 2001
Anand Venkataraman
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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 27(3)  
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