Hi Roberto

Some answers inline

On Wednesday 26 Jan 2011 15:50:19 Roberto Rios wrote:
> hello..I finished installing giza++ and moses...it runs good. now i am
> proceeding to install mgiza for multithread.....I am having a file issues.
> 
> 1. in "http://www.statmt.org/wmt07/baseline.html";
> 
> 
>    - Copy GIZA++ and mkcls to a bin location for Moses Scripts
>     mkdir -p bin
>    cp GIZA++-v2/GIZA++ bin/
>    cp GIZA++-v2/snt2cooc.out bin/
>    cp mkcls-v2/mkcls bin/
> 
>       1.1)  where is it i have to copy mgiza, mkcls, mergealignment.py an
> snt2cooc?

Same place as GIZA++

>       1.2) Do i have to replace the old mkcls and snt2cooc.out for the new
> ones comming with mgiza?

Should be the same.

>       1.3) Is there a difference between snt2cooc and snt2cooc.out?

Not as far as I know.

> 
> 2. the corpus that is been tokenized for the LM; is it the same corpus as
> the english corpus?

If you're translating into English, then you use English text to build the LM.

> 
> 3. Does tunning takes longer than training?..it took my server a couple of
> days for tunning and 4 hours of training....would the time for tunning get
> better after the first run?

Yes, tuning can take a couple of days for a big model.

> 
> 4. how do i feed directories of corpuses into my system?. I am able to run
> the tutorial already mention, but that is only one corpus,, i have a lot of
> corpuses organized in directories...trying to do one by one would be a
> killer.
> 

The best idea is to concatenate the corpora together. 

> 5. if i get anew corpus do I need to run training and tunning all
>  again...it seems that training uses old trained and merges the new corpus
>  into it..is that correct?

If you update your corpus, then you need to go back to the beginning. The 
standard training pipeline works in batch mode.

> 
> 6. I have the last version of moses....the only script i have is
> train-model.perl...but for what i read is better to do
> train-factored-phrase-model.perl...i
> do not have it oin my moses or scripts/2011....../training
> 

train-factored-phrase-model.perl is now called train-model.perl

best regards
Barry

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