I had made an external script for this some time ago. It replaced each
number with a tag before translation, and after translation it used the
word alignment information to replace the tags with their stored value. But
it only worked with phrase-based translation, not hierarchical. And it
didn't work well enough, I dont remember exactly but i think it crashed
when the translation didn't have the same number of tags as the source,
maybe other problems. And anyway, if you plan to implement this "in the
decoder", i suppose an external script is not what you want.

--
Raphaƫl Payen

On Thu, Jun 6, 2013 at 9:59 PM, Hieu Hoang <[email protected]> wrote:

> As you say, the number's in the input sentence would be unknown. However,
> the reason to use placeholders is to make them known to the LM and
> phrase-table so that they can have more accurate scores for them
>
> Therefore you need to replace numbers in your input sentence with
> placeholders.
>
> You can then use the word alignment from the decoder to put the number
> back.
>
> This is something I want to implement better in the decoder. So if you, or
> anyone, is willing help me and contribute some time & code, I can help out.
>
>
>
> On 6 June 2013 15:25, Arezki Sadoune <[email protected]> wrote:
>
>> Dear Hieu Hoang,
>>
>> Thank you for the answer,
>>
>> Yes, I'm replacing the numbers with a placeholder on the training data and 
>> the LM as well, I thought this might address the issue of the number without 
>> losing too much translation quality,
>>
>> Regarding the input sentence I'm not interfering with the process assuming 
>> that the number will still the same as it is unknown..., An other option 
>> will be to make a script which, as you said puts back the original number 
>> for a 100% accuracy.
>>
>> Do you think I could use the both at the same time?
>>
>> Regards
>>
>>
>> A.S
>>
>>
>> _______________________________________________
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>> http://mailman.mit.edu/mailman/listinfo/moses-support
>>
>>
>
>
> --
> Hieu Hoang
> Research Associate
> University of Edinburgh
> http://www.hoang.co.uk/hieu
>
>
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> [email protected]
> http://mailman.mit.edu/mailman/listinfo/moses-support
>
>
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