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