Hi again, What does the tuning actually do? Tries to translate and checks against the actual translation in the target language file? Trying different weights, over and over again? No wonder it's time consuming.
Tuning needs a lot of memory too, compared to training. At least in one of the steps, according to the system monitor. The step that only uses one thread, in spite of the parameter -threads. What step? And why? I see some interesting files are created, with names like run8.best100.out . I suppose those are the most successful translations. How are they used in the tuning? The default tuner (?) is mert, how does mert acually work to do the tuning efficient? How are the weights to be tested chosen? Are there any short cuts to take? What's the difference to other tuners (?)? Anyone working on some different approach for tuning, to get improved tuning speed or improved translation quality? What's the recommended size of the tuning corpus? Is that size independent of the size of the training corpus? Is it dependent of the tuner (?) used? Yours, Per Tunedal PS My tuning has just started round 8, after 20 hours of processing. Will it stop at 10 rounds, or what? _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
