I believe mgiza uses the old model to align new sentences. However, you should 
ask Qin about that. 

Does abby's incremental Giza update the model?

Hieu
Sent from my flying horse

On 13 Jun 2012, at 02:51 PM, Carlos Henriquez 
<[email protected]> wrote:

> Hi Marco.
> 
> I'm facing the same problem right now and I found out that the code has an 
> invalid assert. The IDs will never match. I try commenting that line and keep 
> going but then I found out that the resulting vocabulary starts with an ID=2 
> instead of ID=1 like the original vocabulary. 
> 
> Again, I changed that to keep going but then the snt2cooc threw a 
> segmentation fault when I ran it in the inverse direction and even GIZA++ 
> complained later when I tried to align in the src-trg direction.
> 
> Basically, I haven't been able to follow the steps described on the web. Did 
> you solve it?
> 
> Now to Hieu.
> With mgiza I haven't had any problems. 
> 
> That force alignment from mgiza, is really incremental? or it only uses the 
> old models to align new sentences. 
> 
> De: Hieu Hoang <[email protected]>
> Para: marco turchi <[email protected]> 
> CC: moses-support <[email protected]> 
> Enviado: MiƩrcoles 22 de febrero de 2012 8:48
> Asunto: Re: [Moses-support] problem using plain2snt.out for incremental 
> training
> 
> Hi marco
> 
> Mgiza also offers incremental training (it's called forced alignment there). 
> 
> Not sure how it differs from abby levenbergs Giza version
> 
> Hieu
> Sent from my flying horse
> 
> On 21 Feb 2012, at 04:40 PM, marco turchi <[email protected]> wrote:
> 
>> Hi 
>> I'm following the incremental training steps from the Moses web site and I'm 
>> running the plain2snt command:
>> plain2snt.out newData.lower.1.fr newData.lower.1.en -txt1-vocab 
>> ../training/prepared.1/fr.vcb -txt2-vocab ../training/prepared.1/en.vcb
>> 
>> but I get this error
>> plain2snt.out: plain2snt.cpp:28: int loadVocab(): Assertion `iid1.size()-1 
>> == ID' failed.
>> 
>> and it is not clear to me what is going wrong... any ideas?
>> 
>> I have trained the model using the last version of moses and I have 
>> downloaded the incremental training scripts from the web site.
>> 
>> Thanks a lot
>> Marco
>> _______________________________________________
>> Moses-support mailing list
>> [email protected]
>> http://mailman.mit.edu/mailman/listinfo/moses-support
> 
> _______________________________________________
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