Hi, Can you describe the amount of training sentences and test set you use? Or maybe you can make another test for other language pairs. I guess it is because of the data sparseness and leads to uncertainty during your experiments.
On Wed, Aug 31, 2011 at 8:00 PM, Neda NoorMohammadi <[email protected]> wrote: > Hello all, > > We are testing different reordering models in our system ( source language > structure is sov and target is svo). > The results are amazing! The distance based model improves the results in > compare to lexical reordering models. > > we want to know is it true for other pair languages and also: > Isn't it true that lexical reordering is offered to improve the reordering > models? Then why we have get just the reverse?! How we can argument why it > has happend to our system? > > Also I have checked the LexicalReorderingState.cpp class. There is a > commented part in the code which shows it has uses no smoothing model for > estimating none-seen events of this model. Am I right? > > Thanks > > > _______________________________________________ > Moses-support mailing list > [email protected] > http://mailman.mit.edu/mailman/listinfo/moses-support > > _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
