So you still think it's fine that the default would perform at 37 BLEU points 
less than just selecting the most likely translation of each phrase? 

You know I think I would have to try really hard to design a system that 
performed so poorly.

James

________________________________________
From: amittai axelrod <amit...@umiacs.umd.edu>
Sent: Wednesday, June 24, 2015 5:36 PM
To: Read, James C; Lane Schwartz
Cc: moses-support@mit.edu; Philipp Koehn
Subject: Re: [Moses-support] Major bug found in Moses

what *i* would do is tune my systems.

~amittai

On 6/24/15 09:15, Read, James C wrote:
> Thank you for such an invitation. Let's see. Given the choice of
>
> a) reading through thousands of lines of code trying to figure out why the 
> default behaviour performs considerably worse than merely selecting the most 
> likely translation of each phrase or
> b) spending much less time implementing a simple system that does just that
>
> which one would you do?
>
> For all know maybe I've already implemented such a system that does just that 
> and not only that improves considerably on such a basic benchmark. But given 
> that on this list we don't seem to be able to accept that there is a problem 
> with the default behaviour of Moses I can only conclude that nobody would be 
> interested in access to the code of such a system.
>
> James
>
> ________________________________________
> From: amittai axelrod <amit...@umiacs.umd.edu>
> Sent: Friday, June 19, 2015 7:52 PM
> To: Read, James C; Lane Schwartz
> Cc: moses-support@mit.edu; Philipp Koehn
> Subject: Re: [Moses-support] Major bug found in Moses
>
> 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
>>
>>
>>
>> _______________________________________________
>> Moses-support mailing list
>> Moses-support@mit.edu
>> http://mailman.mit.edu/mailman/listinfo/moses-support
>>
>

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