Hi,

the reason is to make the results a (little bit) more comparable. 
Tokenization drastically changes the absolute values of metrics like 
BLEU, NIST, ... By converting to "the output that humans want" and then 
using a fixed evaluation chain, you somewhat reduce the problem.

Internally, we evaluate in our tokenization and before recasing. It is 
definitely ok for checking the progress within a given MT type and a 
particular toolkit implementation.

Cheers,
   Ondrej.

On 06/08/2013 07:34 PM, Cyrine NASRI wrote:
> Dear all,
>
> I have a question concern evaluation step.
>
> I see in the tutorial that we have to  Recase and Detokenize the output.
>
> But i don't know exactly the reason for doing this
>
> Any explanation please?
>
> Thank you
>
> Best regards
>
> --
> /Cyrine
> Ph.D. Student in Computer Science/
>
>
> _______________________________________________
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>

-- 
Ondrej Bojar (mailto:[email protected] / [email protected])
http://www.cuni.cz/~obo
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