=============================
MIT Language Modeling Toolkit

The MIT Language Modeling (MITLM) toolkit is a set of tools designed for the efficient estimation of statistical n-gram language models involving iterative parameter estimation. It achieves much of its efficiency through the use of a compact vector representation of n-grams. Details of the data structure and associated algorithms can be found in the following paper.

• Bo-June (Paul) Hsu and James Glass. Iterative Language Model
  Estimation: Efficient Data Structure & Algorithms. In
  Proc. Interspeech, 2008.

Currently, MITLM supports the following features:

• Smoothing: Modified Kneser-Ney, Kneser-Ney, maximum likelihood
• Interpolation: Linear interpolation, count merging, generalized
  linear interpolation
• Evaluation: Perplexity
• File formats: ARPA, binary, gzip, bz2

MITLM is available for download under the MIT License. It has been built and tested on 32-bit and 64-bit Intel CPUs running Debian Linux 7.0. It currently requires the following:

• ANSI C++/Fortran compiler (GCC 4.7.1+)

For more information about MITLM, please visit:

https://code.google.com/p/mitlm/

If you find any BUG and/or want to provide a patch, please file an issue about it at:

https://code.google.com/p/mitlm/issues/list

===============
Acknowledgments

The design and implementation of this toolkit benefited significantly from the SRI Language Modeling Toolkit by Andreas Stolcke.

The vector library is partially derived from the Flexible Library for Efficient Numerical Solutions by Michael Lehn.

Copyright (c) 2007, Michael Lehn

All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright
   notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
   notice, this list of conditions and the following disclaimer in
   the documentation and/or other materials provided with the
   distribution.
3. Neither the name of the FLENS development group nor the names of
   its contributors may be used to endorse or promote products
   derived from this software without specific prior written
   permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

The project is supported in part by the T-Party Project, a joint research program between MIT CSAIL and Quanta Computer Inc.

Bo-June (Paul) Hsu Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology (C) 2008