SRILM - The SRI Language Modeling Toolkit

SRILM is a toolkit for building and applying statistical language models (LMs), primarily for use in speech recognition, statistical tagging and segmentation, and machine translation. 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, 1997, and 2002 (see history).

These pages and the software itself assume that you know what statistical language modeling is. To learn about language modeling we recommend the textbooks

Either book gives an excellent introduction to N-gram language modeling, which is the main type of LM supported by SRILM.

SRILM consists of the following components:

SRILM runs on UNIX and Windows platforms.

SRILM has been used in a great variety of statistical modeling applications.

Others have published extensions to SRILM that add new functionality.

Documentation

SRILM is still under development. The documentation in particular is work in progress. Best documented are the executable programs, scripts, and file formats, in the form of UNIX-style manual pages. The libraries are documented mostly in the source code. An overview of what the software can do and its design philosophy can be found in the paper "SRILM - An Extensible Language Modeling Toolkit", in Proc. Intl. Conf. Spoken Language Processing, Denver, Colorado, September 2002 (postscript, PDF). Links to other papers and tutorials, as well as frequently asked questions, are also given here.

NEW! A recent paper summarizes updates to SRILM since the 2002 paper.

Terms of Use

Government agencies, and schools, universities, and non-profit organizations can download SRILM free of charge under SRI's "Research Community License", for use in projects that do not receive external funding other than government research grants and contracts. For other uses please inquire about commercial licensing.

Mailing List

Exchange of information among SRILM users, as well as some level of technical support, is provided through the mailing list srilm-user@speech.sri.com. Check the user mailing list archive or announcement mailing list archive for past contributions.

To subscribe and obtain more information, follow . this link.