makeweights(6) [debian man page]

MAKEWEIGHTS(6)							   Games Manual 						    MAKEWEIGHTS(6)

NAME

       makeweights - generate a GNU Backgammon binary weights file

SYNOPSIS

       makeweights [[-f] output [input]]

DESCRIPTION

       makeweights generates GNU Backgammon binary weights file from a text input file.  By default, it reads input from standard input and writes
       output to standard output, but input and output files may be specified on the command line.  It is only of interest if you want to regener-
       ate the gnubg.wd database from a modified gnubg.weights file.

OPTIONS

       -f     This option may be given for compatibility with the options of other GNU Backgammon programs but is ignored.

EXAMPLES

       To generate gnubg.wd from gnubg.weights:

	   makeweights gnubg.wd gnubg.weights

SEE ALSO

       gnubg(6)

AUTHORS

       Joseph Heled, Oystein Johansen, Jorn Thyssen, and Gary Wong, with the assistance of many others <bug-gnubg@gnu.org>.

       This manual page was written by Russ Allbery <rra@debian.org>, for the Debian GNU/Linux system (but may be used by others).  It may be
       redistributed and/or modified under the terms of version 3 or later of the GNU General Public License as published by the Free Software
       Foundation (the same license as GNU Backgammon).

								    2008-02-16							    MAKEWEIGHTS(6)

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
       available under the GNU Public License.

								   October 2005 						      fst-train(1)