| P10-1114 | focuses on the use of automatic | machine translation technology | . Most of these methods involve |
| H01-1071 | translation using example based | machine translation technology | . We use a user - centered approach |
| H94-1024 | make revolutionary advances in | machine translation technology | " ( Doddington , personal communication |
| J90-2001 | basic concept underlying current | machine translation technology | is the compositionality principle |
| A00-1003 | particularly good application for | machine translation technology | . Unlike document translation |
| A88-1000 | prospects for immediate application of | machine translation technology | will be considered . Finally |
| D15-1051 | work that uses character-based | machine translation technology | on user-generated data for spelling |
| D15-1105 | modeling . We have so far adapted | machine translation technology | circa only 1996 . For example |
| N09-1003 | English using state-of-the-art | machine translation technology | . 2 . The vector corresponding |
| W02-0713 | researchers engaged in applying | machine translation technologies | to both types of interaction |
| P10-1114 | competitive with stateof-the-art | machine translation technology | while requiring fewer resources |
| P04-3001 | process itself . If the underlying | machine translation technology | is good enough , TransType2 's |
| W11-3217 | Generation Leveraging Statistical | Machine Translation Technology | </title> Pradeep Mona Abstract |
| E14-2009 | During the last twenty years , | Machine Translation technologies | have matured enough to get out |
| W00-0504 | couple speech recognition with | machine translation technologies | for cross-media and cross-language |
| I05-4010 | in the current development of | machine translation technology | . It is such large data sets |
| W06-3702 | of the art in recognition and | machine translation technology | , what is the most appropriate |
| D15-1136 | pars - ing , as fortunately , | machine translation technology | provides more low-hanging fruit |
| W12-4401 | study of the research progress of | machine translation technology | , different from previous practice |
| P10-1114 | cross-language method . Statistical | machine translation technology | offers a straightforward solution |
