| W10-4130 | performance , we train and test with | dictionary-based word segmentation | outputs . On large-scale unlabeled |
| P06-2123 | two sources : IOB tagging and | dictionary-based word segmentation | . Its calculation is defined |
| P06-2123 | dictionary-based segmentation . After the | dictionary-based word segmentation | , the words are re-segmented |
| P06-2123 | between the IOB tagging and the | dictionary-based word segmentation | . We found an empirical value |
| N06-2049 | between the IOB tagging and the | dictionary-based word segmentation | . We found the value 0.7 for |
| P06-2123 | segmentation results by using the | dictionary-based word segmentation | and the IOB tagging . In Section |
| W10-4130 | demonstrating the benefit of the | dictionary-based word segmentation | outputs and the NGCMs which are |
| W14-5503 | used . Their method integrates | dictionary-based word segmentation | ( similar to the maximum matching |
| W14-5503 | Bayesian word segmentation scheme . | Dictionary-based word segmentation | has the advantage of being able |
