Hi,

maximum entropy is one learning method for log-linear models,
and MERT is another one. However, MERT is based on the
Powell algorithm and there are no guarantees for convergence.

-phi

On Thu, Jan 21, 2010 at 2:38 AM, david li <[email protected]> wrote:
> Hi, all
>
> I'm new here, and I've one question on log-linear models for SMT.
>
> Since log-linear model is based on MaxEnt principle, it has the nice
> property with global optimum.
>
> However, I remember that during MERT training, one way to avoid local
> maximum with log-linear training is to select several starting point
> randomly. Then the max value will be chosen.
>
> Is there anything wrong for me and thanks very much!
>
>
> David
>
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