Difference between revisions of "IRSTLM"
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==Installation== |
==Installation== |
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see https://github.com/irstlm-team/irstlm |
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or |
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<pre> |
<pre> |
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svn checkout svn://svn.code.sf.net/p/irstlm/code/trunk irstlm |
svn checkout svn://svn.code.sf.net/p/irstlm/code/trunk irstlm |
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make install |
make install |
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</pre> |
</pre> |
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if you get <code>stdlib.h</code> error, see https://github.com/irstlm-team/irstlm/issues/22 |
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== Make a language model == |
== Make a language model == |
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<pre> |
<pre> |
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# if you specified /path/prefix previously |
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export IRSTLM=/path/prefix |
export IRSTLM=/path/prefix |
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# else |
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export IRSTLM=/usr/local |
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$IRSTLM/bin/build-lm.sh -i incorpus.txt -o out.lm.gz -t tmp/ |
$IRSTLM/bin/build-lm.sh -i incorpus.txt -o out.lm.gz -t tmp/ |
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</pre> |
</pre> |
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Latest revision as of 15:15, 5 August 2021
IRSTLM is a free and open source exact statistical language model using memory-mapping. The language models are compatible with those created with the closed-source SRILM Tooolkit.
See the homepage at https://hlt-mt.fbk.eu/technologies/irstlm
Installation[edit]
see https://github.com/irstlm-team/irstlm or
svn checkout svn://svn.code.sf.net/p/irstlm/code/trunk irstlm cd irstlm cmake -G "Unix Makefiles" -DCMAKE_INSTALL_PREFIX=/path/prefix make -j4 make install
if you get stdlib.h error, see https://github.com/irstlm-team/irstlm/issues/22
Make a language model[edit]
# if you specified /path/prefix previously export IRSTLM=/path/prefix # else export IRSTLM=/usr/local $IRSTLM/bin/build-lm.sh -i incorpus.txt -o out.lm.gz -t tmp/
See also[edit]
- Moses (includes alternative LM system KenLM)
- Using GIZA++
- RandLM - a randomised LM, based on Bloom Filters
