| Download | - View accepted manuscript: Mixture-Model Adaptation for SMT (PDF, 271 KiB)
|
|---|
| Author | Search for: Foster, George; Search for: Kuhn, Roland |
|---|
| Format | Text, Article |
|---|
| Conference | The ACL 2007 Workshop on Statistical Machine Translation (WMT-07), June 23 2007, Prague, Czech Republic |
|---|
| Abstract | We describe a mixture-model approach to adapting a Statistical Machine Translation system for new domains, using weights that depend on text distances to mixture components. We investigate a number of variants on this approach, including cross-domain versus dynamic adaptation; linear versus loglinear mixtures; language and translation model adaptation; different methods of assigning weights; and granularity of the source unit being adapted to. The best methods achieve gains of approximately one BLEU percentage point over a state-of-the art non-adapted baseline system. |
|---|
| Publication date | 2007 |
|---|
| In | |
|---|
| Language | English |
|---|
| NRC number | NRCC 49351 |
|---|
| NPARC number | 8914141 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 22ebfcf1-86e6-4af8-a8c3-ea3d51ec5b75 |
|---|
| Record created | 2009-04-22 |
|---|
| Record modified | 2020-08-12 |
|---|
