In that case, It can also be applied to Chinese word segmentation.
On Wed, Dec 28, 2011 at 6:49 AM, Lars Buitinck <[email protected]> wrote:
> 2011/12/27 Nelle Varoquaux <[email protected]>:
> > VDHMMs are HMMs in which a state can emit a serie of observations. It
> seems
> > that the main application to these chains are speech recognition, and
> > handwriting recognition: fields in which we are trying to determine a
> state
> > to poorly segmented data. Would anyone know other applications than those
> > two ? I'm looking for easy test data, in order to illustrate the
> advantages
> > of VDHMMs compared to HMMs.
>
> I hadn't heard of VDHMMs before, but from the description they seem
> rather much like the generative cousins of semi-Markov CRFs [1]. Those
> are advocated for e.g. named-entity recognition, which is really a
> segmentation task, rather than a labeling one (names commonly span
> multiple tokens).
>
> [1] www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdf
>
> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
>
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--
Best Wishes
--------------------------------------------
Meng Xinfan（蒙新泛）
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China
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