| P06-2045 | overhead or the complexity to the | unknown-word boundary identification | pro- cess . This is because all |
| P06-2045 | , to reduce the complexity in | unknown-word boundary identification | task , the unknown segments could |
| P06-2045 | relatively maintained . For the | unknown-word boundary identification | , considering the highest frequent |
| P06-2045 | Unknown-Word Boundary Identification The | unknown-word boundary identification | is based on string pattern-matching |
| P06-2045 | text resource from the Web , the | unknown-word boundary identification | is based on the statistical pattern-matching |
| P06-2045 | text resource on the Web , our | unknown-word boundary identification | approach is based on the statistical |
| P06-2045 | pattern matching unit performs | unknown-word boundary identification | task . It takes the intermediate |
| P06-2045 | frequently . The results from the | unknown-word boundary identification | are unknown-word candidates . |
| P06-2045 | their contextual information . Our | unknown-word boundary identification | approach is based on a string |
| P06-2045 | help reduce the complexity in the | unknown-word boundary identification | as fewer segments will be checked |
| P06-2045 | processes : unknownword detection and | unknown-word boundary identification | . Due to the non-segmenting characteristic |
| P06-2045 | unknown segments more reliable . 4.2 | Unknown-Word Boundary Identification | Once the unknown segments are |
| P06-2045 | Moore ( 1977 ) . Consider the | unknown-word boundary identification | as a string pattern-matching |
| P06-2045 | Merging Approach 5.2 Evaluation of | Unknown-Word Boundary Identification | The unknown-word boundary identification |
