20 lines
920 B
Text
20 lines
920 B
Text
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SRILM is a toolkit for building and applying statistical language models (LMs),
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primarily for use in speech recognition, statistical tagging and segmentation.
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It has been under development in the SRI Speech Technology and
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Research Laboratory since 1995. The toolkit has also greatly benefitted from
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its use and enhancements during the Johns Hopkins University/CLSP summer
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workshops in 1995, 1996, and 1997
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SRILM consists of the following components:
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* A set of C++ class libraries implementing language models,
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supporting data stuctures and miscellaneous utility functions.
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* A set of executable programs built on top of these libraries to
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perform standard tasks such as training LMs and testing them on
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data, tagging or segmenting text, etc.
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* A collection of miscellaneous scripts facilitating minor related tasks.
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WWW: http://www.speech.sri.com/projects/srilm/
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Author: stolcke@speech.sri.com
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