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fst-train(1)			   fst-train			  fst-train(1)

NAME
       fst-train - learning transducer weights

SYNOPSIS
       fst-train [ options ] file [ input-file ]

OPTIONS
       -t file
	      use multiple transducers in the same way as fst-infl2.

       -b     This  option  is used for	supervised training with disambiguated
	      data.

       -d     Disambiguate the analyses	symbolically as	described in  the  man
	      pages of fst-infl2.

       -q     quiet mode

DESCRIPTION
       fst-train  is  used  to	learn  statistical weights for the transducers
       transitions based on training data.  Training  is  either  unsupervised
       (default) or supervised (option -b).
       In  supervised  mode,  the input	contains fully disambiguated data with
       the surface and the analysis form. The format restrictions are  identi-
       cal  to	those  applying	 for lexicon entries, i.e. all operators other
       than the	colon operator (:) are interpreted literally.
       In unsupervised mode, the input data consists of	surface	 strings.  The
       format is identical to the input	format of fst-infl and fst-infl2.
       The  transducer weights are stored in files whose names are obtained by
       appending .prob to the names of the transducer files.

BUGS
       No bugs are known so far.

SEE ALSO
       fst-infl2, fst-compiler

AUTHOR
       Helmut Schmid, Institute	for Computational Linguistics,	University  of
       Stuttgart,  Email: schmid@ims.uni-stuttgart.de, This software is	avail-
       able under the GNU Public License.

				 October 2005			  fst-train(1)

NAME | SYNOPSIS | OPTIONS | DESCRIPTION | BUGS | SEE ALSO | AUTHOR

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