| W02-1809 | well known . For English-Chinese | cross language retrieval | , failure to accurately translate |
| W02-1809 | to help in name selection . For | cross language retrieval | , it is especially helpful to |
| W09-3507 | systems , information extraction and | cross language retrieval | models are named entities ( NEs |
| D11-1128 | for machine translation , and | cross language retrieval | via translation resource expansion |
| W05-0705 | Example An online version of our | cross language retrieval | system involving our Arabic processing |
| W02-1809 | Pinyin Names One of the NTCIR-2 | cross language retrieval | experiments ( Eguchi , et.al |
| W03-0207 | It also does any language , and | cross language retrieval | handily because its numerical |
| W12-3006 | beneficial for literature translation , | cross language retrieval | and language acquisition to compare |
| P11-4008 | multitude of NLP technologies such as | cross language retrieval | , alignment , sentence clas - |
| W09-3528 | of information retrieval , the | cross language retrieval | performance was reduced by 50 |
