6 search results - page 1 / 2 » Online Large-Margin Training of Syntactic and Structural Tra... |
EMNLP
2008
13 years 5 months ago
2008
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
EMNLP
2007
13 years 5 months ago
2007
We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of p...
EMNLP
2011
12 years 4 months ago
2011
When translating among languages that differ substantially in word order, machine translation (MT) systems benefit from syntactic preordering—an approach that uses features fro...
IALP
2010
12 years 11 months ago
2010
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
EMNLP
2009
13 years 2 months ago
2009
We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...