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foma is a finite-state toolkit that implements Xerox lexc and xfst. It can be used for building morphologies of natural languages.

[edit] Installation

Note: foma requires libreadline to be installed, on Debian or Ubuntu use apt-get install libreadline-dev

Note: foma requires zlib1g-dev to be installed, on Debian use apt-get install zlib1g-dev

tar -xzvf foma-0.9.15alpha.tar.gz
cd foma
sudo make install

or, from svn:

svn checkout foma
cd foma
#run if you do not run with sudo: sed -i.tmp "s%prefix = /usr/local%prefix = $PREFIX%" Makefile
sudo make install

[edit] Installation troubleshooting

If you get an error about -fPIC (happens on Arch Linux), do:

make clean
sudo make install
If you get an error like
/usr/bin/ld: cannot find -ltermcap
collect2: ld returned 1 exit status
make: *** [libfoma] Error 1
when running make, open the Makefile and change the -ltermcap to -lncurses (happens on Arch Linux and OpenSUSE).

If you get an error Makefile:12: *** missing separator. Stop., edit the Makefile and add \ to the end of the lines 11--13.

If you get an error like this (I got it running ubuntu 11.10):

/usr/bin/ld: int_stack.o: relocation R_X86_64_32S against `.bss' can not be used when making a shared object; recompile with -fPIC
int_stack.o: could not read symbols: Bad value
collect2: ld returned 1 exit status
make: *** [libfoma] Error 1

edit the Makefile and change a line that looks like this

CFLAGS = -O3 -Wall -D_GNU_SOURCE -std=c99 -fvisibility=hidden

to this

CFLAGS = -O3 -Wall -D_GNU_SOURCE -std=c99 -fvisibility=hidden -fPIC

[edit] Example usage

First check out the Greenlandic (kal) morphology from Giellatekno SVN:

$ svn co

Move to the src/ directory and combine all the lexc source files:

$ cat kal-lex.txt \
abbr-kal-lex.txt acro-kal-lex.txt \
noun-kal-lex.txt verb-kal-lex.txt \
ateq-kal-lex.txt ateq-kal-morph.txt \
punct-kal-lex.txt prt-kal-lex.txt num-kal-lex.txt > kal-lex-all.lexc

Next, remove the comments from the xfst rewrite rule file:

$ cat xfst-kal.txt | sed 's/\s\!.*$/ /g' | grep -v '^!' | sed 's/$/ /g' | grep -v 'echo' > xfst-kal.tmp

Compile the xfst code as follows, run foma and load the rewrite rules:

foma[0]: source xfst-kal.tmp 
Opening file 'xfst-kal.tmp'.
defined Vow: 348 bytes. 2 states, 6 arcs, 6 paths.
defined Cns: 741 bytes. 2 states, 19 arcs, 19 paths.
6.1 MB. 12474 states, 402541 arcs, Cyclic.

Note the [1], if you don't get this something has gone wrong.

Next, save the compiled transducer and quit:

foma[1]: save stack xfst-kal.bin
Writing to file xfst-kal.bin.
foma[1]: quit

Now we compile the lexc file and save the resulting transducer and quit:

$ foma
foma[0]: read lexc kal-lex-all.lexc
Root...8, Z1Zmorf...59, Z1SZmorf...56, Z1PZmorf...59, Z1+ssZmorf...59, ...
Building lexicon...Determinizing...Minimizing...Done!
85.5 MB. 154826 states, 5599566 arcs, Cyclic.
foma[1]: save stack
Writing to file
foma[1]: quit

The final step is to compose the two transducers (the lexicon and the rewrite rules),

$ foma
foma[0]: regex [[@""] .o. [[@""].l .o. [@"xfst-kal.bin"]] ] ;

This final step takes some time, up to 2—3 minutes. It also takes a lot of processing power and RAM. The final result will be:

76.4 MB. 160041 states, 5002206 arcs, Cyclic.

Then save the final transducer, and quit:

foma[1]: save stack kal.morph.bin
Writing to file kal.morph.bin.
foma[1]: quit

You can now use the transducer for analysis and generation, for example,

$ foma
foma[0]: load kal.morph.bin
76.4 MB. 160041 states, 5002206 arcs, Cyclic.
foma[1]: apply up nittartagaq
foma[1]: apply up kalaallisut
foma[1]: apply down kalaaleq+N+Aeq+Sg

[edit] Visualising an Apertium transducer

$ lt-print no-en.autobil.bin > /tmp/no-en.txt

$ foma
foma[0]: read att /tmp/no-en.txt
foma[1]: view

Make sure you've install a .dot renderer for converting the file to PNG. On Ubuntu its done by:

$ sudo apt-get install graphviz

[edit] External links

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