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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