fst-train(1)fst-trainfst-train(1)NAMEfst-train - learning transducer weights
SYNOPSISfst-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
DESCRIPTIONfst-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)
