| Download | - View accepted manuscript: Confidence Estimation for NLP Applications (PDF, 1.1 MiB)
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| Author | Search for: Gandrabur, S.; Search for: Foster, George; Search for: Lapalme, G. |
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| Format | Text, Article |
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| Subject | algorithms; design; experimentation; reliability; theory; confidence measures; confidence estimation; statistical machine learning; computer-aided machine translation; speech recognition; spoken language understanding |
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| Abstract | Confidence measures are a practical solution for improving the usefulness of Natural Language Processing applications. Confidence estimation is a generic machine learning approach for deriving confidence measures. We give an overview of the application of confidence estimation in various fields of Natural Language Processing, and present experimental results for speech recognition, spoken language understanding, and statistical machine translation. |
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| Publication date | 2006 |
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| In | |
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| Language | English |
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| NRC number | NRCC 48755 |
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| NPARC number | 5764359 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | dd285102-141f-41f9-b131-0e1201574ce1 |
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| Record created | 2009-03-29 |
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| Record modified | 2020-04-22 |
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