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| Title: | A decision-theoretic framework for the evaluation of language models used in speech recognizers |
| Author: | J. R. Deller |
| Institution: | Michigan State University |
| Author: | K. H. Desai |
| Institution: | Michigan State University |
| Author: | Y. P. Yang |
| Institution: | Michigan State University |
| Linguistic Field: | Computational Linguistics |
| Abstract: | An analytical method for design and performance analysis of language models (LM) is described, and an example interactive software tool based on the technique is demonstrated. The LM performance analysis does not require on-line simulation or experimentation with the recognition system in which the LM is to employed. By exploiting parallels with signal detection theory, a profile of the LM as a function of the design parameters is given in a set of curves analogous to a receiver-operating-characteristic display. |
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This article appears in Natural Language Engineering Vol. 11, Issue 4, which you can read on Cambridge's site or on LINGUIST . |
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