James, did you try the modifications Philip suggested (removing the word penalty and lowering p(f|e)? (I doubt it will be enough to get a best paper award, but it would probably improve your bleu, that's always a good start :) )
On Friday, June 19, 2015, Read, James C <jcr...@essex.ac.uk> wrote: > So, all I did was filter out the less likely phrase pairs and the BLEU > score shot up. Was that such a stroke of genius? Was that not blindingly > obvious? > > > Your telling me that redesigning the search algorithm to prefer higher > scoring phrase pairs is all we need to do to get a best paper at ACL? > > > James > > > ------------------------------ > *From:* Lane Schwartz <dowob...@gmail.com > <javascript:_e(%7B%7D,'cvml','dowob...@gmail.com');>> > *Sent:* Friday, June 19, 2015 7:40 PM > *To:* Read, James C > *Cc:* Philipp Koehn; Burger, John D.; moses-support@mit.edu > <javascript:_e(%7B%7D,'cvml','moses-support@mit.edu');> > *Subject:* Re: [Moses-support] Major bug found in Moses > > On Fri, Jun 19, 2015 at 11:28 AM, Read, James C <jcr...@essex.ac.uk > <javascript:_e(%7B%7D,'cvml','jcr...@essex.ac.uk');>> wrote: > > What I take issue with is the en-masse denial that there is a problem >> with the system if it behaves in such a way with no LM + no pruning and/or >> tuning. >> > > There is no mass denial taking place. > > Regardless of whether or not you tune, the decoder will do its best to > find translations with the highest model score. That is the expected > behavior. > > What I have tried to tell you, and what other people have tried to tell > you, is that translations with high model scores are not necessarily good > translations. > > We all want our models to be such that high model scores correspond to > good translations, and that low model scores correspond with bad > translations. But unfortunately, our models do not innately have this > characteristic. We all know this. We also know a good way to deal with this > shortcoming, namely tuning. Tuning is the process by which we attempt to > ensure that high model scores correspond to high quality translations, and > that low model scores correspond to low quality translations. > > If you can design models that naturally correspond with translation > quality without tuning, that's great. If you can do that, you've got a > great shot at winning a Best Paper award at ACL. > > In the meantime, you may want to consider an apology for your rude > behavior and unprofessional attitude. > > Goodbye. > Lane > >
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