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swig-srilm
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SWIG Wrapper for the SRILM toolkit
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swig-srilm
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[](https://bitdeli.com/free "Bitdeli Badge") ## SWIG-SRILM: A SWIG-based wrapper for an SRILM language model ========== ### Description This package contains files to generate Perl and Python wrappers for [SRILM](http://www.speech.sri.com/projects/srilm/) language models. ### Requirements - GNU make - Simplified Wrapper & Interface Generator ([SWIG](http://swig.org/)) - A local Python and/or Perl installation - The SRILM toolkit (v1.7.1). If you have an older version of SRILM e.g., the 1.5.x series then you should use the `old_srilm` branch. Note that SRILM should have been compiled as position independent code. You can do that by using the command `MAKE_PIC=yes make` when compiling SRILM. ### Installation: #### Linux - Modify the following environment variables at the top of the included Makefile: - `SRILM_LIBS` : The directory containing the SRILM libraries - `SRILM_INC` : The directory containing the SRILM header files - `PYTHON_INC` : The directory containing the python header files - `PERL_INC` : The directory containing the perl header files - To create a Python module, run 'make python' in this directory. Copy `_srilm.so` and `srilm.py` to your directory where you want to use the python module. You can run the included `test.py` script to check whether the compiled module works correctly. The output of test.py should be the following: ``` 1. Number of n-grams: There are 11868 unigrams in this LM There are 59481 bigrams in this LM There are 16744 trigrams in this LM There are 13787 4-grams in this LM There are 12082 5-grams in this LM 2. N-gram log probabilities: p('good') = -3.49373698235 p('of the') = -0.558740794659 p('nitin madnani') = -99.0 p('there are some') = -0.985605716705 p('do more about your') = -0.469523012638 p('or whatever has yet to') = -0.53226429224 3. Sentence log probabilities and perplexities: p('there are some good') = -9.85836982727 ppl('there are some good') = 93.6858444214 4. OOvs: nOOVs('there are some foobar') = 1 5. Corpus log probabilties and perplexities: Logprob for the file test.txt = -33.6016654968 Perplexity for the file test.txt = 94.7476806641 ``` - To create a Perl module, run `make perl` in this directory. Copy `srilm.so` and `srilm.pm` to the directory of your choice. Run the included Perl script 'test.pl' to test whether the compiled module works correctly. The output should be the same as above. #### Mac OS X *Note*: This has only been tested on OS X El Capitan and only with the built-in versions of python (2.7.10) and perl (5.18). - Check out the `macosx` branch. - Make sure you have compiled the SRILM libraries (`MAKE_PIC=yes make`). - Go to the directory containing the SRILM header files (`$SRILM/include`), open `File.h` and comment out the line that says `#include "zio.h"`. This is necessary because even though SRILM is supposed to rename the `zopen()` function to `my_zopen()` on OS X since `zlib` is installed by default, it does not seem to work. So, this is a hacky workaround. - Modify the following environment variables at the top of `Makefile.osx`: - `SRILM_LIBS` : The directory containing the SRILM libraries - `SRILM_INC` : The directory containing the SRILM header files **IMPORTANT**: DO NOT change the `PYTHON_INC` and `PERL_INC` variables as they are set to be the default values for OS X El Capitan. - To compile the python module, run `make -f Makefile.osx python` and to compile the perl module, run `make -f Makefile.osx perl`. Note that the compiled modules will *only* work with the default OS X python and perl interpreters, i.e., `/usr/bin/python` and `/usr/bin/perl`. - You should be able to run `/usr/bin/python test.py` and `/usr/bin/perl test.pl` to test that the modules work and obtain the same output in the Linux case. ### Usage: Usage is clearly illustrated in files `test.pl` and `test.py`.
