On Tue, Apr 5, 2011 at 2:44 AM, Andrei Zene <[email protected]> wrote:
> Dear Kevin,
>
> Thank you for your reply. If I understood correctly my job would be to play 
> with the smoothing parameter (alpha) for every language until I get best 
> results? If so, then it is ok for me. Maybe the fact that I speak Romanian 
> and German could be an advantage for me when testing, because both languages 
> have diacritics.
>
> I would have two other questions:
> 1. I see on apertium ideas page that a preferable requirement is knowledge of 
> FSTs. What does FST stand for?
>
> 2. I do not understand exactly what you mean when you say: "Your proposal 
> should include code for evaluation of your system in any case (the charlifter 
> perl code does 10-fold cross validation on the training data)."
>

1. Finite state transducer

2. 10-fold cross validation means that you divide
up the training data into ten parts.  Then set
aside one part, train on the other 9/10,
and evaluate on the 1/10 you set aside.
Repeat for the other nine tenths, and
average.

It's important that your port to C++
have the ability to this kind of
evaluation - only a tiny amount of
additional work to do so.   Once
you have this, then tuning smoothing
parameters is trivial - just lots of CPU
time.

Kevin

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