| other,24-2-H01-1058,bq | of the <term> performance </term> of an <term> | oracle | </term> . The <term> oracle </term> knows the | #1068 We find that simple interpolation methods, like log-linear and linear interpolation, improve the performance but fall short of the performance of anoracle. |
| tech,13-6-H01-1058,bq | behavior of the <term> oracle </term> using a <term> | neural network | </term> or a <term> decision tree </term> . The | #1165 We suggest a method that mimics the behavior of the oracle using aneural network or a decision tree. |
| other,4-3-H01-1058,bq | </term> . The <term> oracle </term> knows the <term> | reference word string | </term> and selects the <term> word string </term> | #1074 The oracle knows thereference word string and selects the word string with the best performance (typically, word or semantic error rate) from a list of word strings, where each word string has been obtained by using a different LM. |
| other,34-3-H01-1058,bq | <term> word strings </term> , where each <term> | word string | </term> has been obtained by using a different | #1104 The oracle knows the reference word string and selects the word string with the best performance (typically, word or semantic error rate) from a list of word strings, where eachword string has been obtained by using a different LM. |
| other,3-4-H01-1058,bq | different <term> LM </term> . Actually , the <term> | oracle | </term> acts like a <term> dynamic combiner | #1118 Actually, theoracle acts like a dynamic combiner with hard decisions using the reference. |
| other,10-6-H01-1058,bq | method that mimics the behavior of the <term> | oracle | </term> using a <term> neural network </term> | #1162 We suggest a method that mimics the behavior of theoracle using a neural network or a decision tree. |
| measure(ment),21-7-H01-1058,bq | to the <term> LM </term> with the best <term> | confidence | </term> . We describe a three-tiered approach | #1193 The method amounts to tagging LMs with confidence measures and picking the best hypothesis corresponding to the LM with the bestconfidence. |
| other,1-3-H01-1058,bq | </term> of an <term> oracle </term> . The <term> | oracle | </term> knows the <term> reference word string | #1071 Theoracle knows the reference word string and selects the word string with the best performance (typically, word or semantic error rate) from a list of word strings, where each word string has been obtained by using a different LM. |
