Hi,
I'm thinking about getting IBM certified in AIX 6. I can't seem to find any material that can be used to study for this. IBM courses are way too expensive.
Does anyone have any recommendations on material for IBM test 000:223? (5 Replies)
Fedora Core 6
2.6.20-1.2962.fc6
I have about 15 GB of data that I need to backup to Single-Layer DVDs. Is there a backup method that will allow me to backup spanning multiple DVDs? (0 Replies)
Dear Experts,
I just want any web site from where i can download free or i can buy a full trainning video of unix shell programming.
Can any body tell me the good video CBT for unic shell scripting.
Regards,
SHARY (1 Reply)
Hi. Thanks for the help.
I would now like to know how I do go about learning IBM AIX Ver 5.2 and also how much does the training come to in $ (US) please. (1 Reply)
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)
