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Actualy I am following the... (1 Reply)
I had install Sun Solaris 10 in my virtual machine. Anyhow I still very limitation knowledge how to operate it. Would like to search for help somemore could assist me how could I get the resources by free for me to learn and prepare myself for sitting the Sun cerfitication exam?
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Source: NY Times
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The Oracle Corporation, the technology information company, announced Monday that it would acquire a rival, Sun Microsystems, for $9.50 a share, or about $7.4 billion.
The agreement with Oracle came about two weeks... (6 Replies)
Out of curiosity, what training resources would people recommend for beginners to UNIX/scripting?
Do you find forums such as these are better than books in providing help as and when? Or do you think more formal training is better? (2 Replies)
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)