---
name: "fst-train"
section: "1"
platform: "linux"
package: "sfst"
version: "1.7.0-1"
release: "Debian 13 (Trixie)"
platforms: ["linux"]
url: "https://new.carta.tech/fst-train"
---

# fst-train(1)

learning transducer weights

## 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 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.

## 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.