Difference between revisions of "Analysing Finnish text"
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# run it through vislcg3 |
# run it through vislcg3 |
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In the following, apertium-style example, points 2, 3, 4 above have been included in one operation, ''hfst-proc''. In [http://giellatekno.uit.no/doc/tools/docu-sme-manual.html the Giellatekno environment] they are run separately. |
In the following, apertium-style example, points 2, 3, 4 above have been included in one operation, ''hfst-proc''. In [http://giellatekno.uit.no/doc/tools/docu-sme-manual.html the Giellatekno environment] they are run separately. The command below is run with the ''--trace'' option, giving the type (MAP, REMOVE, etc.) and line number in the cg file (here ''apertium-sme-fin.fin-sme.rlx'', cf. MAP:2859, that the addition of @+FMAINV tag is done with a mapping rule on line 2859). |
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<pre> |
<pre> |
Revision as of 13:27, 19 January 2011
Installation
First make a directory called something like "source" in your home directory. The commands below assume you start in that directory.
Install SFST
$ sudo apt-get install libreadline5-dev $ wget ftp://ftp.ims.uni-stuttgart.de/pub/corpora/SFST/SFST-1.4.2.tar.gz $ cd SFST/src $ make $ sudo make install $ sudo make libinstall $ cd ..
Install OpenFST
$ wget http://openfst.cs.nyu.edu/twiki/pub/FST/FstDownload/openfst-1.2.6.tar.gz $ tar -xzvf openfst-1.2.6.tar.gz $ cd openfst-1.2.6/ $ ./configure $ make $ sudo make install $ cd ..
Install HFST
$ wget http://downloads.sourceforge.net/project/hfst/hfst/hfst-2.4.1.tar.gz $ tar -xzvf hfst-2.4.1.tar.gz $ cd hfst-2.4.1/ $ ./configure $ make $ sudo make install $ cd ..
Install Omorfi
$ svn co http://svn.gna.org/svn/omorfi/trunk omorfi $ cd omorfi $ sh autogen.sh $ ./configure $ make $ sudo make install $ cd ..
Install VISLCG
Some hints can be found here:
The main vislcg3 page is at http://beta.visl.sdu.dk/cg3.html.
Usage
Morphological analysis
Testing
$ cd omorfi/src $ echo "auton" | hfst-optimized-lookup mor-omorfi.cg.hfst.ol auton auto+N+Sg+Gen $ echo "autojen" | hfst-optimized-lookup mor-omorfi.cg.hfst.ol autojen auto+N+Pl+Gen
Morphological disambiguation
The analysis chain is as follows:
- take text
- preprocess: change it to one token per line (with proper punctuation handling)
- morphological analysis
- change it from omorfi output to vislcg3 input
- run it through vislcg3
In the following, apertium-style example, points 2, 3, 4 above have been included in one operation, hfst-proc. In the Giellatekno environment they are run separately. The command below is run with the --trace option, giving the type (MAP, REMOVE, etc.) and line number in the cg file (here apertium-sme-fin.fin-sme.rlx, cf. MAP:2859, that the addition of @+FMAINV tag is done with a mapping rule on line 2859).
$ echo "Alussa loi Jumala taivaan ja maan." | hfst-proc -C fin-sme.automorf.hfst | vislcg3 --trace -g apertium-sme-fin.fin-sme.rlx VISL CG-3 Disambiguator version 0.9.7.6378 Codepage: default UTF-8, input UTF-8, output UTF-8, grammar UTF-8 Parsing grammar took 0.06 seconds. Grammar has 6 sections, 0 templates, 1379 rules, 1312 sets, 748 c-tags, 1299 s-tags. "<Alussa>" "alku" N Sg Ine "<loi>" "luoda" V Act Ind Prt Sg3 @+FMAINV MAP:2859 "<Jumala>" "Jumala" N Prop Sg Nom @→N MAP:2694 "jumala" N Sg Nom @→N MAP:2694 "<taivaan>" "taivas" N Sg Gen @→N MAP:2680 "<ja>" "ja" CC @CNP MAP:2651 ; "ja" Pcle REMOVE:820 "<maan>" "maa" N Sg Gen @←OBJ MAP:2785 "<.>" "." Punct CLB ADD:793