A procedure for unsupervised lexicon learning

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dc.creatorVenkataraman, Anand
dc.date2001-11-30
dc.date.accessioned2026-07-07T03:17:59Z
dc.date.available2026-07-07T03:17:59Z
dc.descriptionWe 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.
dc.descriptionExpanded version of this paper appears in Computational Linguistics 27(3)
dc.identifierhttps://arxiv.org/abs/cs/0111064
dc.identifierhttp://arxiv.org/abs/cs/0111064
dc.identifierProceedings of the eighteenth international conference on machine learning, ICML-01, pp.569--576, 2001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30936
dc.subjectComputation and Language
dc.subjectI.2.6;I.2.7
dc.titleA procedure for unsupervised lexicon learning
dc.typetext

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