fst-train - learning transducer weights

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

                                                  October 2005                                      fst-train(1)

       No bugs are known so far.

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.

       fst-train - learning transducer weights

-tfile
              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-infl2, fst-compiler

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