A statistical model for word discovery in child directed speech

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dc.creatorVenkataraman, Anand
dc.date1999-10-13
dc.date.accessioned2026-07-07T03:24:24Z
dc.date.available2026-07-07T03:24:24Z
dc.descriptionA statistical model for segmentation and word discovery in child directed speech is presented. An incremental unsupervised learning algorithm to infer word boundaries based on this model is described and results of empirical tests showing that the algorithm is competitive with other models that have been used for similar tasks are also presented.
dc.description48 pgs, 10 figs
dc.identifierhttps://arxiv.org/abs/cs/9910011
dc.identifierhttp://arxiv.org/abs/cs/9910011
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33310
dc.subjectComputation and Language
dc.subjectMachine Learning
dc.subjectI.2.6; I.2.7
dc.titleA statistical model for word discovery in child directed speech
dc.typetext

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