| C96-2129 | accurate bitext maps , which make | omission detection | easier . However , wide-coverage |
| C96-2129 | map errors can interfere with | omission detection | . One kind results in Sl ) urious |
| C96-2129 | . A useflll evaluation of any | omission detection | algorithm must take . the human |
| A00-1018 | . For example , performance on | omission detection | will ultimately depend on the |
| A00-1018 | the alignment parameters . The | omission detection | parameters can also be modified |
| P15-2110 | prediction in Chinese conversations : | Omission detection | : The biggest challenge for this |
| C96-2129 | omission errors . To be useful , the | omission detection | algorithm must be able to tell |
| C96-2129 | two texts . The novelty of ' the | omission detection | method presented in this paper |
| P15-2110 | study this problem by focusing on | omission detection | , verb tense preference from |
| A00-1018 | imagine doing something similar for | omission detection | trying to construct the meaning |
| A00-1018 | Canadian Hansard . The " Art " of | omission detection | can be seen as one of trial and |
