the simplest way to achieve this would be:

--add your dictionary as short, additional  sentences  to the parallel
corpus (this is how dictionaries are usually integrated into Moses)
--produce sample sentences using those preferred translations;  build
a language model over that.
--run MERT on a set of parallel sentences which use your preferred translations.

the rest is automatic.

instructions on training Moses can be found online.

Miles

On 7 April 2011 11:11, Soldatovs <[email protected]> wrote:
> Hello all,
>
> I'm new to Moses, so I beg my pardon for a possibly stupid question.
>
> My input is:
> 1. already translated bilingual documents
> 2. a glossary
>
> What I want to do using Moses is:
> 1. Train the engine using the bilingual documents I already have.
> 2. Produce translations with entries from the glossary having higher
> priority over the engine's proposals.
>
> Example.
> Assume I translate from English to Norwegian. In my en-US - nb-NO glossary,
> I have a term
> terminology processing - behandling av terminologi
>
> So, if I feed Moses with a sentence beginning with 'The most important
> issues of terminology processing are...', I want to get something like 'De
> viktigste problemene av behandling av terminologi er...', but NOT something
> like 'De viktigste problemene av behandling av fagord er...'.
>
> Of course, I understand that there's no problem in training Moses, but what
> I want to ask you is:
> 1. Is it possible to solve the step 2 of the problem with Moses?
> 2. If the solution already exists, could you please share any links to
> appropriate manuals?
>
> Thanks for help in advance.
>
> Best regards,
> Anton
>
> _______________________________________________
> Moses-support mailing list
> [email protected]
> http://mailman.mit.edu/mailman/listinfo/moses-support
>
>



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