Provided by: sfst_1.2.0-1.1build1_amd64 bug


       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 data.

       -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)