Hi Dorra,

It sounds like PhraseDictionaryGroup is probably the best fit for your
task.  If you have 2 phrase tables (A and B), each translation will get a
full set of scores from A and a full set of scores from B.  If a
translation is in A but not B, B's scores will be filled in with zeros.
Since this can lead to unwanted behavior, you can specify
"default-average-others=true" to fill in B's scores by copying A's scores
(effectively having B abstain from weighing in on translations it doesn't
know anything about).  If a translation is in B but not A, A's scores are
zeroed or filled in from B.

Best,
Michael

On Wed, Feb 24, 2016 at 7:42 PM, <[email protected]> wrote:

> Hi,
>
> I trained a translation model and I want to add this new model to the
> phrase
> based model inside moses in such a way that the decoder will search for
> possible translations in the translation tables and give them scores
> coming
> from the tables.
> If a translation option exists in one table but not in the other table, I
> would like this option to be suggested by the decoder.
>
> In moses, there is options to combine several translation tables
> (http://www.statmt.org/moses/?n=Advanced.Models#ntoc7).
> I'm not sure I understand the difference between these options.
>
> The both option suggests only the options that  appear in all the tables.
> So options that exist in one table and not in the others, will not be
> proposed.
>
> The either option suggests only options existing in one table and not in
> the other tables and add extra information from other tables. However,
> it's not clear how adding extra information is done?
>
> The PhraseDictionaryGroup option suggests that I can use any option in
> either table, but all options are scored by all tables. However, when an
> option doesn't exist in one table, how it's scored by this table?
>
>
> I'm a little confused. Could you help me understand the difference between
> these options?
>
> Thank you,
> Dorra
>
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