Amis - A maximum entropy estimator for feature forests
Jun. 23th, 2006
Kazuhiro Yoshida
Department of Computer Science, University of Tokyo
kyoshida AT is.s.u-tokyo.ac.jp
Amis is a parameter estimator for maximum entropy models [1].
Given a set of events as training data,
the program outputs parameters that optimize
the likelihood of the training data.
Download
amis-4.0.tar.gz
Previous distributions:
Quick Installation
Unpack the package, run "configure", and "make install".
% tar xvzf amis-x.y.z.tar.gz
% cd amis-x.y.z
% ./configure
% make install
This procedure installs "/usr/local/bin/amis"
(you must have an access to "/usr/local/bin/").
If you want to install it in another
directory, see Amis manual.
Manuals
[1] Adam L. Berger, Stephen A. Della Pietra and Vincent J. Della
Pietra. A maximum entropy approach to natural language processing.
Computational Linguistics, 22(1):39-71, 1996.