fst-train - learning transducer weights
fst-train [ options ] file
- -t file
- use multiple transducers in the same way as
- This option is used for supervised training with
- Disambiguate the analyses symbolically as described in the
man pages of fst-infl2.
- quiet mode
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
In unsupervised mode, the input data consists of surface strings. The format is
identical to the input format of fst-infl
The transducer weights are stored in files whose names are obtained by appending
to the names of the transducer files.
No bugs are known so far.
Helmut Schmid, Institute for Computational Linguistics, University of Stuttgart,
Email: email@example.com, This software is available under the GNU