Difference between revisions of "Using GIZA++"
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[[Utiliser GIZA++|En français]] |
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'''GIZA++''' is a program for aligning words and sequences of words in sentence aligned corpora. If you have parallel corpus you can use GIZA++ to make bilingual dictionaries for Apertium (e.g. using [[ReTraTos]]). |
'''GIZA++''' is a program for aligning words and sequences of words in sentence aligned corpora. If you have parallel corpus you can use GIZA++ to make bilingual dictionaries for Apertium (e.g. using [[ReTraTos]]) or [[lexical selection]] rules. |
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==Compiling== |
==Compiling== |
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<pre> |
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[http://code.google.com/p/giza-pp/ Download] and compile GIZA++. |
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git clone https://github.com/moses-smt/giza-pp |
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cd giza-pp |
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make |
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cp GIZA++-v2/GIZA++ /path/prefix/bin/ |
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cp GIZA++-v2/plain2snt.out /path/prefix/bin/ |
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cp GIZA++-v2/snt2cooc.out /path/prefix/bin/ |
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cp GIZA++-v2/snt2plain.out /path/prefix/bin/ |
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cp GIZA++-v2/trainGIZA++.sh /path/prefix/bin/ |
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cp mkcls-v2/mkcls /path/prefix/bin/ |
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</pre> |
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The /path/prefix/bin is what you use as -external-bin-dir to moses, e.g. <code>perl train-model.perl -external-bin-dir /path/prefix/bin</code> |
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===Troubleshooting=== |
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If you're running a case-insensitive file system (typical for Mac OS) you'll have to edit the file <code>model3.cpp</code> before compiling, since it outputs two files named <code>foo.a3.final</code> and <code>foo.A3.final</code>. So before compiling, change eg. lines 321--322: |
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<pre> |
<pre> |
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alignfile = Prefix + ".A3." + number ; |
alignfile = Prefix + ".A3." + number ; |
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*[[Corpora]] |
*[[Corpora]] |
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*[[ReTraTos]] |
*[[ReTraTos]] |
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*[[Moses]] |
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*[[Mgiza]] – a more recent alternative to Giza++ |
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*[[Learning rules from parallel and non-parallel corpora]] using Giza to make lex-sel rules |
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==External links== |
==External links== |
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* [http://guardiani.us/index.php/Moses_Language_Model_Howto_v2 Moses Language Model Howto v2] |
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* [http://www.statmt.org/moses/?n=FactoredTraining.HomePage statmt.org: Factored training] |
* [http://www.statmt.org/moses/?n=FactoredTraining.HomePage statmt.org: Factored training] |
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Latest revision as of 11:51, 29 April 2015
GIZA++ is a program for aligning words and sequences of words in sentence aligned corpora. If you have parallel corpus you can use GIZA++ to make bilingual dictionaries for Apertium (e.g. using ReTraTos) or lexical selection rules.
Compiling[edit]
git clone https://github.com/moses-smt/giza-pp cd giza-pp make cp GIZA++-v2/GIZA++ /path/prefix/bin/ cp GIZA++-v2/plain2snt.out /path/prefix/bin/ cp GIZA++-v2/snt2cooc.out /path/prefix/bin/ cp GIZA++-v2/snt2plain.out /path/prefix/bin/ cp GIZA++-v2/trainGIZA++.sh /path/prefix/bin/ cp mkcls-v2/mkcls /path/prefix/bin/
The /path/prefix/bin is what you use as -external-bin-dir to moses, e.g. perl train-model.perl -external-bin-dir /path/prefix/bin
Troubleshooting[edit]
If you're running a case-insensitive file system (typical for Mac OS) you'll have to edit the file model3.cpp
before compiling, since it outputs two files named foo.a3.final
and foo.A3.final
. So before compiling, change eg. lines 321--322:
alignfile = Prefix + ".A3." + number ; test_alignfile = Prefix + ".tst.A3." + number ;
into something like
alignfile = Prefix + ".AA3." + number ; test_alignfile = Prefix + ".tst.AA3." + number ;
Usage[edit]
Download your corpus, and convert into one sentence per line.
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
trainGIZA++.sh[edit]
- Note: These changes only apply if you are not planning to use Moses
To use the trainGIZA++.sh
script, you need to make a few changes before compiling:
In Makefile
change:
CFLAGS_OPT = $(CFLAGS) -O3 -DNDEBUG -DWORDINDEX_WITH_4_BYTE -DBINARY_SEARCH_FOR_TTABLE
to:
CFLAGS_OPT = $(CFLAGS) -O3 -DNDEBUG -DWORDINDEX_WITH_4_BYTE
and in trainGIZA++.sh
itself, change:
if( $# != 3 )
to:
if( $#argv != 3 )
See also[edit]
- Corpora
- ReTraTos
- Moses
- Mgiza – a more recent alternative to Giza++
- Learning rules from parallel and non-parallel corpora using Giza to make lex-sel rules