Towards an Improved Performance Measure for Language Models
<|reference_start|>Towards an Improved Performance Measure for Language Models: 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.<|reference_end|>
@article{ueberla1997towards,
    title={Towards an Improved Performance Measure for Language Models},
    author={Joerg P. Ueberla (Speech Machines - DRA Malvern)},
    journal={arXiv preprint arXiv:cmp-lg/9711009},
    year={1997},
    archivePrefix={arXiv},
    eprint={cmp-lg/9711009},
    primaryClass={cmp-lg cs.CL}
}