Name
Abstract | ||
|---|---|---|
This paper describes the JHU system combination scheme used in WMT-11. The JHU system combination is based on confusion network alignment, and inherited the framework developed by (Karakos et al., 2008). We improved our core system combination algorithm by making use of TER-plus, which was originally designed for string alignment, for alignment of confusion networks. Experimental results on French-English, German-English, Czech-English and Spanish-English combination tasks show significant improvements on BLEU and TER by up to 2 points on average, compared to the best individual system output, and improvements compared with the results produced by ITG which we used in WMT-10. |
Year | Venue | Keywords |
|---|---|---|
2011 | WMT@EMNLP | confusion network,core system combination algorithm,jhu system combination,spanish-english combination task,jhu system combination scheme,individual system output,significant improvement,confusion network alignment,string alignment |
Field | DocType | Citations |
System combination,Confusion,Computer science,Network alignment,Artificial intelligence | Conference | 7 |
PageRank | References | Authors |
0.57 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daguang Xu | 1 | 33 | 3.63 |
| Yuan Cao | 2 | 548 | 35.60 |
| Damianos Karakos | 3 | 221 | 19.35 |