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       fst-train - learning transducer weights


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


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

       -b     This  option  is used for supervised training with disambiguated

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

       -q     quiet mode


       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
       identical  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.


       No bugs are known so far.


       fst-infl2, fst-compiler


       Helmut Schmid, Institute for Computational Linguistics,  University  of
       Stuttgart,   Email:,   This  software  is
       available under the GNU Public License.

                                 October 2005                     fst-train(1)