Moses-support Digest, Vol 104, Issue 85

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Today's Topics:

1. Re: Major bug found in Moses (Leusch, Gregor)
2. Re: Major bug found in Moses (Jorg Tiedemann)


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Message: 1
Date: Wed, 24 Jun 2015 15:41:15 +0000
From: "Leusch, Gregor" <gleusch@ebay.com>
Subject: Re: [Moses-support] Major bug found in Moses
To: "Read, James C" <jcread@essex.ac.uk>, "John D. Burger"
<john@mitre.org>
Cc: "moses-support@mit.edu" <moses-support@mit.edu>
Message-ID: <D1B09B31.7D02%gleusch@ebay.com>
Content-Type: text/plain; charset="utf-8"

John,

to my knowledge, you still have not reported BLEU scores for the following
experiment:
> The moses.ini in your unfiltered translation experiment should assign
>weights of "0 0 0 1" to the TM features.

(requested by Matt on June 17).

Would you please run this experiment and report the results? Otherwise you
are asking the decoder to select phrases with the highest sum of all
scores, but expecting it instead to select the phrase with only the fourth
score being the highest, which are even by primary school math two
completely different things.


Gregor




-----Original Message-----
From: <moses-support-bounces@mit.edu> on behalf of "Read, James C"
<jcread@essex.ac.uk>
Date: Wednesday 24 June 2015 17:29
To: "John D. Burger" <john@mitre.org>
Cc: "moses-support@mit.edu" <moses-support@mit.edu>
Subject: Re: [Moses-support] Major bug found in Moses

>Please allow me to give a synthesis of my understanding of your response:
>
>a) we understand that out of the box Moses performs notably less well
>than merely selecting the most likely translation for each phrase
>b) we don't see this as a problem because for years we've been applying a
>different type of fix
>c) we have no intention of rectifying the problem or even acknowledging
>that there is a problem
>d) we would rather continue performing this gratuitous step and insisting
>that our users perform it also
>
>Please explain to me. Why even bother running the training process if you
>have already decided that the default setup should not be designed to
>maximise on the probabilities learned during that step?
>
>James
>
>________________________________________
>From: John D. Burger <john@mitre.org>
>Sent: Wednesday, June 24, 2015 6:03 PM
>To: Read, James C
>Cc: moses-support@mit.edu
>Subject: Re: [Moses-support] Major bug found in Moses
>
>> On Jun 24, 2015, at 10:47 , Read, James C <jcread@essex.ac.uk> wrote:
>>
>> 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?
>
>Yes, I'm pretty sure we all think that's fine, because one of the steps
>of building a system is tuning.
>
>Is this really the essence of your complaint? That the behavior without
>tuning is not very good?
>
>(Please try to reply without your usual snarkiness.)
>
>- John Burger
> MITRE
>
>> You know I think I would have to try really hard to design a system
>>that performed so poorly.
>>
>> James
>>
>> ________________________________________
>> From: amittai axelrod <amittai@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 <amittai@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 <dowobeha@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 <jcread@essex.ac.uk
>>>> <mailto:jcread@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
>>>>
>>>
>>
>> _______________________________________________
>> Moses-support mailing list
>> Moses-support@mit.edu
>> http://mailman.mit.edu/mailman/listinfo/moses-support
>
>
>_______________________________________________
>Moses-support mailing list
>Moses-support@mit.edu
>http://mailman.mit.edu/mailman/listinfo/moses-support




------------------------------

Message: 2
Date: Wed, 24 Jun 2015 18:06:41 +0200
From: Jorg Tiedemann <tiedeman@gmail.com>
Subject: Re: [Moses-support] Major bug found in Moses
To: "Read, James C" <jcread@essex.ac.uk>
Cc: moses-support <moses-support@mit.edu>
Message-ID: <72048E38-7CD2-4071-B0B1-55D11788ABC7@gmail.com>
Content-Type: text/plain; charset="iso-8859-1"

James,

(1) Did you ever look at the model scores? The decoder's job is to find the hypotheses with the highest model score and if your baseline system finds translations with higher model scores than your filtered system then there is no bug in Moses.

(2) You should stop talking about BLEU scores as some kind of evidence that there is a bug in the software. We have an unpublished paper in which we show that using BLEU as the objective function to optimize translations in decoding results in terrible translations, too: http://www2.lingfil.uu.se/SLTC2014/abstracts/sltc2014_submission_21.pdf

(3) Tuning is part of the training procedure for log-linear models. There is no point in leaving it out (as many others have told you already).

(4) Stop driving on the wrong side of the street ...


J?rg


On Jun 24, 2015, at 5:21 PM, Read, James C wrote:

> May I humbly suggest that we do some market research and see how many institutions/organisations out there dream about an MT system that out of the box performs at 37 BLEU points less that merely substituting each phrase for its most likely translation? I dare say that most users would expect a system to perform *better* than such a blatantly obvious baseline out of the box.
>
> So, please, can we stop trying to play the academic high ground here and just accept that the default behaviour of Moses is much less than desirable?
>
> James
>
>
> From: Lane Schwartz <dowobeha@gmail.com>
> Sent: Wednesday, June 24, 2015 5:56 PM
> To: Read, James C
> Cc: Rico Sennrich; moses-support@mit.edu
> Subject: Re: [Moses-support] Major bug found in Moses
>
>
> On Wed, Jun 24, 2015 at 9:05 AM, Read, James C <jcread@essex.ac.uk> wrote:
> As the title of this thread makes clear the purpose of reporting the bug was not to invite a discussion about conclusions made in my draft paper. Clearly a community that builds its career around research in SMT is unlikely to agree with those kinds of conclusions. The purpose was to report the flaw in the default behaviour of Moses in the hope that we could all agree that something ought to be done about it.
> So far you seem to be the only one who has come even close to acknowledging that there is a problem with Moses default behaviour.
>
> James,
>
> I wasn't talking about the conclusion in your paper. I was talking about the conclusion in your email:
>
> If the default behaviour produces BLEU scores considerably lower than merely selecting the most likely translation of each phrase then evidently there is something very wrong with the default behaviour.
>
> Your conclusion, quoted above, is seriously flawed.
>
> There is not "something very wrong with the default behavior" of Moses. You have not exposed a bug in Moses.
>
> What you have exposed is your own lack of understanding of modern statistical machine translation, and your unwillingness to listen when others take the time to explain how and why you are mistaken.
>
> I am happy to help explain things to people who are willing to listen. However, you have shown yourself to be not only rude but obstinate and willfully ignorant. I hope that others who find this thread may find it informative. You appear to have learned nothing from it.
>
> Until you become willing to listen to others, and until you take a statistical machine translation class and are willing to pay attention to what you learn there, I don't see any point in taking the time to explain things further. As far as I am concerned, this discussion is over.
>
> Sincerely,
> Lane Schwartz
>
>
> _______________________________________________
> Moses-support mailing list
> Moses-support@mit.edu
> http://mailman.mit.edu/mailman/listinfo/moses-support

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