| mixture trigram models </term> as compared | to | using a <term> trigram model </term> . This | #21285 Using the BU recognition system, experiments show a 7% improvement in recognition accuracy with the mixture trigram models as compared to using a trigram model. | |
| <term> speechrepairs </term> , and so is able | to | mark a <term> transition </term> either as | #21320 The tagger is given knowledge about category transitions for speechrepairs, and so is able to mark a transition either as a likely repair or as fluent speech. |
