You would expect an improvement of 37 BLEU points?
James ________________________________ From: Marcin Junczys-Dowmunt <junc...@amu.edu.pl> Sent: Wednesday, June 17, 2015 4:32 PM To: Read, James C Cc: Moses-support@mit.edu; Arnold, Doug Subject: Re: [Moses-support] Major bug found in Moses Hi James, there are many more factors involved than just probability, for instance word penalties, phrase penalities etc. To be able to validate your own claim you would need to set weights for all those non-probabilities to zero. Otherwise there is no hope that moses will produce anything similar to the most probable translation. And based on that there is no surprise that there may be different translations. A pruned phrase table will produce naturally less noise, so I would say the behaviour you describe is quite exactly what I would expect to happen. Best, Marcin W dniu 2015-06-17 15:26, Read, James C napisal(a): Hi all, I tried unsuccessfully to publish experiments showing this bug in Moses behaviour. As a result I have lost interest in attempting to have my work published. Nonetheless I think you all should be aware of an anomaly in Moses' behaviour which I have thoroughly exposed and should be easy enough for you to reproduce. As I understand it the TM logic of Moses should select the most likely translations according to the TM. I would therefore expect a run of Moses with no LM to find sentences which are the most likely or at least close to the most likely according to the TM. To test this behaviour I performed two runs of Moses. One with an unfiltered phrase table the other with a filtered phrase table which left only the most likely phrase pair for each source language phrase. The results were truly startling. I observed huge differences in BLEU score. The filtered phrase tables produced much higher BLEU scores. The beam size used was the default width of 100. I would not have been surprised in the differences in BLEU scores where minimal but they were quite high. I have been unable to find a logical explanation for this behaviour other than to conclude that there must be some kind of bug in Moses which causes a TM only run of Moses to perform poorly in finding the most likely translations according to the TM when there are less likely phrase pairs included in the race. I hope this information will be useful to the Moses community and that the cause of the behaviour can be found and rectified. James _______________________________________________ Moses-support mailing list Moses-support@mit.edu<mailto:Moses-support@mit.edu> http://mailman.mit.edu/mailman/listinfo/moses-support
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