MANY is an MT system combination software which architecture is described is the following picture :
The combination can be decomposed into three steps
- 1-best hypotheses from all M systems are aligned in order to build M confusion networks (one for each system considered as backbone).
- All CNs are connected into a single lattice. The first nodes of each CN are connected to a unique first node with probabilities equal to the priors probabilities assigned to the corresponding backbone. The final nodes are connected to a single final node with arc probability of one.
- A token pass decoder is used along with a language model to decode the resulting lattice and the best hypothesis is generated.
--
Cheers,
Vu
No comments:
Post a Comment