| other,18-3-N03-1001,bq | n-gram model </term> for a particular <term> | domain | </term> ; the <term> output </term> of <term> | #2273 In our method, unsupervised training is first used to train a phone n-gram model for a particular domain ; the output of recognition with this model is then passed to a phone-string classifier. |
| tech,5-4-N03-1001,bq | classification accuracy </term> of the <term> | method | </term> is evaluated on three different <term> | #2295 The classification accuracy of the method is evaluated on three different spoken language system domains. |
| model,26-3-N03-1001,bq | <term> recognition </term> with this <term> | model | </term> is then passed to a <term> phone-string | #2281 In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |
| other,21-3-N03-1001,bq | particular <term> domain </term> ; the <term> | output | </term> of <term> recognition </term> with this | #2276 In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |
| tech,23-3-N03-1001,bq | </term> ; the <term> output </term> of <term> | recognition | </term> with this <term> model </term> is then | #2278 In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |
