Difference between revisions of "Using GIZA++"
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If you have parallel corpora you can use GIZA++ to make bilingual dictionaries. |
If you have parallel corpora you can use GIZA++ to make bilingual dictionaries (e.g. using [[ReTraTos]]). |
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Download your corpora, and convert into one sentence per line. |
Download your corpora, and convert into one sentence per line. |
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</pre> |
</pre> |
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and wait... You can watch the log in <code>dictionary.log</code>... but the training is likely to take upwards of 10 hours (at most several days), so have something else planned. |
and wait... You can watch the log in <code>dictionary.log</code>... but the training is likely to take upwards of 10 hours (at most several days), so have something else planned. |
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The final alignment can be found in the file <code>dictionary.A3.final</code> |
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==See also== |
==See also== |
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*[[Corpora]] |
*[[Corpora]] |
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*[[ReTraTos]] |
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==External links== |
==External links== |
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Revision as of 19:13, 29 March 2008
If you have parallel corpora you can use GIZA++ to make bilingual dictionaries (e.g. using ReTraTos).
Download your corpora, and convert into one sentence per line.
Download and compile GIZA++.
Use plain2snt.out to convert your corpus into GIZA++ format:
$ plain2snt.out sv-text.txt da-text.txt w1:sv-text w2:da-text sv-text -> sv-text da-text -> da-text
You may get some warnings about empty sentences like these:
WARNING: filtered out empty sentence (source: sv-text.txt 23 target: da-text.txt 0). WARNING: filtered out empty sentence (source: sv-text.txt 34 target: da-text.txt 0).
if it is a large corpus you may get a lot of warnings... — if you have a lot of warnings, consider changing the corpus.
After you've done this, you should have a couple of .snt files and a couple of .vcb files.
Next you need to generate word classes, using mkcls:
$ mkcls -m2 -psv-text.txt -c50 -Vsv-text.vcb.classes opt >& mkcls1.log $ mkcls -m2 -pda-text.txt -c50 -Vda-text.vcb.classes opt >& mkcls1.log
Now use GIZA++ to build your dictionary (-S is the source language, -T is the target language, -C is the generated aligned text file, and -o is the output file prefix):
$ GIZA++ -S sv-text.vcb -T da-text.vcb -C sv-text_da-text.snt -p0 0.98 -o dictionary >& dictionary.log
and wait... You can watch the log in dictionary.log... but the training is likely to take upwards of 10 hours (at most several days), so have something else planned.
The final alignment can be found in the file dictionary.A3.final
