Hi,

you should just add multiple language models - tuning will find proper
weights for them. There is no way to do backoff with language models,
just interpolation.

-phi

On Mon, Oct 27, 2014 at 12:49 PM, Tomas Fulajtar <[email protected]> wrote:
> Hi all,
>
>
>
> I would like to combine two phrase based engines. One, smaller is trained on
> desired domain data, but with limited corpus size. The second is the legacy
> one with huge phrase table and LM, but with kind of older/more obsolete
> terminology.  Thus the idea is to combine both to preserve domain/language
> style from the first engine, but also reduce OOV with application of the
> second engine.
>
>
>
> I think what I am looking for is the Back-off model - use the small one as a
> preferred one , and then the second in case of phrases not found. I have
> setup such a config in accordance with
> http://www.statmt.org/moses/?n=Moses.AdvancedFeatures#ntoc25,.
>
>
>
> [feature]
>
> PhraseDictionaryCompact name=A
>
> PhraseDictionaryCompact name=BackOff
>
>
>
> [mapping]
>
> 0 T 0
>
> 1 T 1
>
>
>
> [decoding-graph-backoff]
>
> 0
>
> 1
>
>
>
> [weight]
>
> A = 0 0 0 0
>
> BackOff = 0 0 0 0
>
>
>
> And it seems to work (weights were tuned afterwards with mert).
>
>
>
> I have also read the
> http://comments.gmane.org/gmane.comp.nlp.moses.user/10099. However there is
> not mentioned how the LMs  combination could be managed. I can add both to
> ini file and perform the weights tuning, or is it better to set the weights
> manually? I believe that phrase table backoff would ensure the preference of
> model A terminology, while combination of both LMs would make the
> translation smoother as it can benefit from the second, bigger LM.
>
>
>
> Could you please correct my assumptions?  I hope the explanation does make
> some sense…
>
>
>
> Thank you very much,
>
>
>
> Tomas
>
>
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>

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