Dear Vineet ,
Probably you already check it,
but my impression is that there is a mismatch in the order of reference.

best
Nicola



On Sep 18, 2008, at 9:59 AM, Adam Lopez wrote:

>>
>> I would just like to know if there is a significant difference
>> when scoring translations using multi-bleu.
>>
>> With multi-bleu i got the following scores for testing on 2000
>> sentences
>>
>> BLEU = 34.62, 63.4/38.8/27.8/21.3 (BP=0.996, ratio=0.996,
>> hyp_len=16587,
>> ref_len=16660)
>>
>> and the following for 5082 sentences
>>
>> BLEU = 3.82, 11.1/4.0/2.6/1.9 (1, 1.017,44536,43809)
>>
>> The only change i made was increased the corpus size from 6053 to
>> 8948.
>
> First, a caveat: In general, BLEU scores are only comparable when they
> are computed using the same reference set.  It's possible to get
> fairly divergent BLEU scores using an identical system on two
> different data sets from the same domain.
>
> That said, I've never seen differences anywhere near that large, so
> you should need to double-check your experimental setup.  For
> instance, the second set of numbers are n-gram precisions (for
> increasing orders of n).  In your example, the unigram precision went
> from 63.4 to 11.1, a sure sign of problems.
>
> To answer some of your other questions:
>
>> Another question is that what does other parameters except the first
>> which is
>> the BLEU score mean ?
>
> They are n-gram precisions, BLEU penalty, length ratio, hypothesis
> length, and reference length.  For explanation, see the paper:
> http://aclweb.org/anthology-new/P/P02/P02-1040.pdf
>
>> Also, is multi-bleu in par with mteval?
>
> bleu-1.04.pl (IBM BLEU), mteval-11x.pl (NIST BLEU), and multi-bleu.pl
> (Moses BLEU) all report slightly different scores.
>
>> Can i consider a BLEU of 34.62
>> to be correct.
>
> There is no such thing as "correct" with BLEU.  Just make sure you use
> the same evaluation script for every output in your experiment.
>
>
> Cheers
> Adam
>
>
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> Scotland, with registration number SC005336.
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