| C04-1059 | statistical machine translation | decoder | . It is the optimal hypothesis |
| D08-1010 | Therefore , our model allows the | decoder | to perform context-dependent |
| C02-1050 | translations performed by the | decoders | is presented in Figure 6 . <title> |
| D08-1010 | Therefore , during decoding , the | decoder | should select a correct target-side |
| C02-1050 | should come rst . Hence , the | decoder | can discriminate a hypothesis |
| C04-1030 | describe one way to obtain such a | decoder | . It has been pointed out in |
| D08-1010 | examples in Figure 2 . This makes the | decoder | hardly distinguish the two rules |
| C04-1103 | ( 5 ) . 3.6 Decoding Issue The | decoder | searches for the most probabilistic |
| C96-1082 | usually applied to an acoustic | decoder | in isolation . We counted only |
| C04-1103 | same n-gram TM and using the same | decoder | . 3.4 DOM : n-gram TM vs. NCM |
| C02-2003 | supplies the acoustic models and the | decoder | . The right-hand side of the |
| C73-1014 | State machines as encoders and | decoders | , the tests for IL and ILF can |
| D08-1010 | Thus the MERS models can help the | decoder | to perform a context-dependent |
| C04-1168 | translation system is a graphbased | decoder | ( Ue ng et al. , 2002 ) . The |
| C04-1030 | have to modify the beam search | decoder | such that it can not produce |
| C04-1103 | dictionary lookup processing with the | decoder | , which is referred as Case 2 |
| C04-1168 | Watanabe and Sumita , 2003 ) . The | decoder | used the IBM Model 4 with a trigram |
| C96-1075 | of the strengths of the speech | decoder | . At the current time , Phoenix |
| C04-1060 | the IBM models , and in practice | decoders | search through the space of hypothesis |
| C04-1103 | Viterbi algorithm , we use stack | decoder | ( Schwartz et al. , 1990 ) to |
