A procedure for unsupervised lexicon learning
Computation and Language
2007-05-23 v1
Abstract
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.
Cite
@article{arxiv.cs/0111064,
title = {A procedure for unsupervised lexicon learning},
author = {Anand Venkataraman},
journal= {arXiv preprint arXiv:cs/0111064},
year = {2007}
}
Comments
Expanded version of this paper appears in Computational Linguistics 27(3)