Thanks Francis. Have any students been working on machine learning
applications within the Apertium framework? Is machine learning now
synonymous with statistical machine translation? Do you think this task
described in the ideas page would be a good candidate for a machine
learning algorithm:
*Apertium assimilation evaluation toolkit*
The idea is to measure how the ability of human subjects to fill in the
holes improves when the source or a machine translation of it are
presented. The task involves also generating a program that computes the
success as a function of the information presented to the user, and
utilities to make the whole process automatic given an Apertium language
pair.
Lastly, I can't remember or access information on alternative ways to view
Apertium other than through Apertium Viewer (I am using Mac).
Thank you!
On 15 January 2014 05:50, Francis Tyers <[email protected]> wrote:
> El dt 14 de 01 de 2014 a les 22:50 +0000, en/na Jimmy O'Regan va
> escriure:
> > On 14 January 2014 10:39, Prateek Gupta <[email protected]>
> wrote:
> > > Hello,
> >
> > Hi!
> >
> > > I am a B.E. student from India interested to participate in GSOC 2014
> with
> > > Apertium organization.
> >
> > The participating organisations for GSoC 2014 have not been selected
> > yet, and there is no guarantee that Apertium will be selected. While
> > it seems likely, given Apertium's multi-year participation, please
> > remember that it is not certain.
> >
> > > Can anyone guide me to the current development of the project and its
> > > probable ideas and help me to understand the project for a better
> > > understanding?
> >
> > http://wiki.apertium.org/wiki/Ideas_for_Google_Summer_of_Code contains
> > last year's ideas -- it's a good way to get an idea of the types of
> > projects that are likely to be selected.
>
> After you've looked at the list, let us know which ones you find
> interesting and we can tell you more about them.
>
> F.
>
>
>
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--
Alex
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