Towards an Improved Performance Measure for Language Models
cmp-lg
2007-05-23 v1 计算与语言
摘要
In this paper a first attempt at deriving an improved performance measure for language models, the probability ratio measure (PRM) is described. In a proof of concept experiment, it is shown that PRM correlates better with recognition accuracy and can lead to better recognition results when used as the optimisation criterion of a clustering algorithm. Inspite of the approximations and limitations of this preliminary work, the results are very encouraging and should justify more work along the same lines.
引用
@article{arxiv.cmp-lg/9711009,
title = {Towards an Improved Performance Measure for Language Models},
author = {Joerg P. Ueberla},
journal= {arXiv preprint arXiv:cmp-lg/9711009},
year = {2007}
}