| W02-1405 | by introducing order-1 Hidden | Markov alignment models | . Och et al. ( 1999 ) described |
| J03-1002 | experiments is that the hidden | Markov alignment model | achieves significantly better |
| W02-1012 | Irregularities Although the baseline Hidden | Markov alignment model | successfully generates smooth |
| P11-1043 | contains two directional hidden | Markov alignment models | , which we review in Section |
| P00-1056 | alignment models , the Hidden - | Markov alignment model | , smoothing techniques and various |
| J03-1002 | and Mercer ( 1993 ) , the hidden | Markov alignment model | , smoothing techniques , and |
| H05-1022 | the use of NULL alignments into | Markov alignment models | as done by ( Och and Ney , 2003 |
| W04-1118 | al. , 1993 ) and the Hidden - | Markov alignment model | ( HMM ) from ( Vogel et al. , |
| J05-4004 | Jing ( 2002 ) , in which a hidden | Markov alignment model | is applied to the task of identifying |
| C04-1045 | , 1993 ) as well as the Hidden | Markov alignment model | ( Vogel et al. , 1996 ) . The |
| J03-1002 | training data with the hidden | Markov alignment model | using various smoothing parameters |
| P11-1043 | to the underlying directional | Markov alignment model | could be integrated cleanly into |
