Abstract / Description of output
We present two methods that merge ideas from statistical machine translation (SMT) and translation memories (TM). We use a TM to retrieve matches for source segments, and replace the mismatched parts with instructions to an SMT system to fill in the gap. We show that for fuzzy matches of over 70%, one method outperforms both SMT and TM baselines.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Second Joint EM + ICNGL Workshop |
| Subtitle of host publication | Bringing MT to the User: Research on Integrating MT in the Translation Industry (JEC '10) |
| Editors | Ventisislav Zhechev |
| Place of Publication | Denver, CO |
| Pages | 21-31 |
| Number of pages | 11 |
| Publication status | Published - 2010 |