Thank you!
On Tue, Dec 6, 2016 at 12:55 AM Sašo Kuntaric
wrote:
> Hi Angli,
>
> Here is an excerpt of Hieu's answers regarding this topic when I was doing
> research in factored models, might be of some help:
>
> On 30/06/2016 21:44, Sašo Kuntaric wrote:
>
> Hi all,
>
> I would like to ask one more question. When you say that my reference only
> has the surface form, are you talking about the "tuning corpus", which in
> the case of my command
>
> ~/mosesdecoder/scripts/training/mert-moses.pl
> ~/working/IT_corpus/TMX/txt/factored_corpus/singles/tuning_corpus.tagged.clean.en
> ~/working/IT_corpus/TMX/txt/factored_corpus/singles/
> tuning_corpus.tagged.clean.sl ~/mosesdecoder/bin/moses
> ~/working/IT_corpus/TMX/txt/factored_corpus/singles/test/model/moses.ini
> --mertdir ~/mosesdecoder/bin/ --decoder-flags="-threads all"
>
> are tuning_corpus.tagged.clean.en and tuning_corpus.tagged.clean.sl? Can
> tuning be done with files that only contains surface forms?
>
> it's usual that the reference tuning data does not have factors, even if
> there are factors in the phrase table. After all, you don't care if the
> output surface form is correct but the other factors are wrong.
>
> Will the results be compatible with tuning done with a factored tuning
> corpus?
>
> yes
>
> Best regards,
>
> Sašo
>
> 2016-12-04 1:37 GMT+01:00 Hieu Hoang :
>
>
>
> Hieu
> Sent while bumping into things
>
> On 1 Dec 2016 07:01, "Angli Liu" wrote:
>
> Hi, what's the major difference between the tuning process for a factored
> phrase based system (i.e., surface+pos data) and a simple baseline phrase
> based system?
>
>
> Nothing, the tuning just optimise weights for feature functions.
>
> If you decompose your translation so that it has multiple phrase tables
> and generation models, then they are just extra feature functions with
> weights to be tuned
>
> Do I need to organize the dev set the same way as the training set (i.e.,
> surface|pos)?
>
> Yes
>
> Is there a tutorial on the moses website on this topic?
>
> Maybe this
> http://www.statmt.org/moses/?n=FactoredTraining.FactoredTraining
>
>
> Thanks!
>
> -Angli
>
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>
> --
> lp,
>
> Sašo
>
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