| Experiments | 3 as additional cost, the translation results in Table 11 show it helps BLEU by 0.29 BLEU points (56.13 V.s. |
| Experiments | over the baseline from +0.18 (via rightmost binarization) to +0.52 (via head-out-right) BLEU points . |
| Experiments | Table 11 shows when we add such boundary markups in our rules, an improvement of 0.33 BLEU points were obtained (56.46 v.s. |
| Abstract | Combining the two techniques, we show that using a fast shift-reduce parser we can achieve significant quality gains in NIST 2008 English-to-Chinese track (1.3 BLEU points over a phrase-based system, 0.8 BLEU points over a hierarchical phrase-based system). |
| Experiments | On the English-Chinese data set, the improvement over the phrase-based system is 1.3 BLEU points , and 0.8 over the hierarchical phrase-based system. |
| Experiments | In the tasks of translating to European languages, the improvements over the phrase-based baseline are in the range of 0.5 to 1.0 BLEU points , and 0.3 to 0.5 over the hierarchical phrase-based system. |