Difference between revisions of "SFST"
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$ make |
$ make |
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$ make install |
$ make install |
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</pre> |
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==Usage== |
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To try SFST out, you can start by compiling the German transducer, SMOR, that comes with the package: |
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<pre> |
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$ cd data/SMOR |
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$ make |
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</pre> |
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Wait some time, and you will have a file called <code>morph.a</code>, now you need to compact this so it can be read by <code>fst-proc</code>, |
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<pre> |
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$ fst-compact morph.a morph.ac |
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</pre> |
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Now you can use it, |
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<pre> |
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$ cd ../../src |
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$ echo "Ich habe ein Bier" | ./fst-proc ../data/SMOR/smor.ac |
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^Ich/<CAP>ich<+PPRO><pers><1><Sg><NoGend><Nom>$ |
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^habe/haben<+V><1><Sg><Pres><Konj>/haben<+V><3><Sg><Pres><Konj>/haben<+V><Imp><Sg>/haben<+V><1><Sg><Pres><Ind>$ |
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^ein/ein<+ART><Indef><Masc><Nom><Sg>/ein<+ART><Indef><Neut><Nom><Sg>/ein<+ART><Indef><Neut><Akk><Sg>$ ^Bier/*Bier$ |
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</pre> |
</pre> |
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Revision as of 01:05, 24 May 2008
SFST (Stuttgart Finite State Toolkit) is a set of programs that can be used for writing morphological analysers.
Downloading
A packaged version, with the fst-proc
program for processing Apertium input streams can be downloaded from Apertium SVN:
$ svn co http://apertium.svn.sourceforge.net/svnroot/branches/sfst
- Compiling
Follow the standard steps:
$ sh autogen.sh $ ./configure $ make $ make install
Usage
To try SFST out, you can start by compiling the German transducer, SMOR, that comes with the package:
$ cd data/SMOR $ make
Wait some time, and you will have a file called morph.a
, now you need to compact this so it can be read by fst-proc
,
$ fst-compact morph.a morph.ac
Now you can use it,
$ cd ../../src $ echo "Ich habe ein Bier" | ./fst-proc ../data/SMOR/smor.ac ^Ich/<CAP>ich<+PPRO><pers><1><Sg><NoGend><Nom>$ ^habe/haben<+V><1><Sg><Pres><Konj>/haben<+V><3><Sg><Pres><Konj>/haben<+V><Imp><Sg>/haben<+V><1><Sg><Pres><Ind>$ ^ein/ein<+ART><Indef><Masc><Nom><Sg>/ein<+ART><Indef><Neut><Nom><Sg>/ein<+ART><Indef><Neut><Akk><Sg>$ ^Bier/*Bier$
Morphologies
The following
- Morph-IT! (Italian, 34,968 lemmas, LGPL)
- SMOR — comes in the SFST distribution (German, 1,096 lemmas, GPL)
Performance
The analysers produced are fast. For a 1.3Mb analyser (SMOR), it processes 1,100 words per second. Compare with lttoolbox which processes ~5,000 words per second.