| W02-1031 | University ) for providing us with the | WSJ CSR | test set lattices . <title> language |
| H92-1077 | SRI 's DECIPHER system to the | WSJ CSR | task . He focused primarily on |
| H92-1077 | CMU 's SPHINX-II system to the | WSJ CSR | task . An important change to |
| W02-1031 | Charniak et al. , 2000 ) . Since | WSJ CSR | is a speech corpus , there is |
| W02-1031 | the perplexity results on the | WSJ CSR | test sets ordered from highest |
| W02-1031 | has been fully trained for the | WSJ CSR | task , it is essential that we |
| W02-1031 | themselves . 3.2 Evaluating on the | WSJ CSR | Task Next we compare the effectiveness |
| W02-1031 | recognizer . The training set of the | WSJ CSR | task is composed of the 1987-1989 |
| H92-1080 | task is considered , one such as | WSJ CSR | , these techniques are ~ US us |
| W12-2703 | training and test portions of the | WSJ CSR | corpus , we randomly select 2,439 |
| N09-1053 | training and test portions of the | WSJ CSR | corpus , we randomly select 2439 |
| H92-1048 | Systems </title> Victor W Zue Chair | WSJ CSR | using a Stack Decoder SESSION |
| W02-1031 | Continuous Speech Recognition ( | WSJ CSR | ) task , a speech corpus on which |
| N09-1053 | test vocabulary from the first | WSJ CSR | corpus ( Paul and Baker , 1992 |
| W12-2703 | test vocabulary from the first | WSJ CSR | corpus ( Paul and Baker , 1992 |
| N07-2019 | NIST pilot meeting corpus , the | WSJ CSR | - 0 and CSR-1 corpora ,2 the |
| W02-1031 | LMs , we use the four available | WSJ CSR | evaluation sets : 1992 5K closed |
