if we don't understand the problem, how can we possibly fix it?
all the relevant code is open source. go for it!

~amittai

On 6/19/15 12:49, Read, James C 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>
> *Sent:* Friday, June 19, 2015 7:40 PM
> *To:* Read, James C
> *Cc:* Philipp Koehn; Burger, John D.; 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
> <mailto: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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