A statistical model for word discovery in child directed speech
Computation and Language
2007-05-23 v1 Machine Learning
Abstract
A 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.
Cite
@article{arxiv.cs/9910011,
title = {A statistical model for word discovery in child directed speech},
author = {Anand Venkataraman},
journal= {arXiv preprint arXiv:cs/9910011},
year = {2007}
}
Comments
48 pgs, 10 figs