INTRODUCTION
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This library can be used to segment Newspaper style text articles into sentences. 
It uses the Ocaml lexer with a simple set of lexical rules to classify those periods ('.') 
in the text that end sentences.

The simple set of lexical rules implemented achieves a good-enough accuracy. To
achieve greater precision, the set of rules may need to be enhanced. For noisier
text (those that are not in the newspaper article style), machine learning approaches
may work better -- rather than a rule-based approach.


PACKAGE
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Files are:
  - README.txt this file
  - the library:
      . sentsegment.mli      Interface to Lexer
      . sentsegment.mll      Lexer
      . segTest.ml           API test

AUTHOR
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Ramu Ramamurthy - ramu_ramamurthy at yahoo dot com

LICENSE (BSD)
-------------

Copyright (c) 2006, Ramu Ramamurthy
All rights reserved.

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

    * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
    * 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.
    * Neither the name of the author 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.