Completely free toolkits I have written for you!

Well, except SRILM and the SGI/STL, which aren't mine, and have "terms".

• A mini Hidden Markov Model toolkit. Covers most basic algorithms, including Forward-Backward and Baum-Welch, along with an exercise sheet to use HMMS and tag parts of speech. Also included are programs to convert between alternate formalisms of HMMs and run basic Finite Automaton algorithms (subset algorithm for determinization, reducing the number of states of a DFA, etc.)

• An Artificial Neural Net Toolkit.. Covers Backpropagation training, and an exercise sheet with a toolkit that allows you to recognize hand-drawn digits (if you have a pen and tablet)

• A Perl implementation of my maximum likelihood vocabulary selection technique. The problem is this - Given a large number of text corpora each with its own characteristic vocabulary, how can we choose a subset of the union of these vocabularies that best matches a completely separate corpus. This program is also available as part of the SRI language modeling toolkit. Read the companion paper

• A C++/STL implementation of my word segmentation algorithm. The problem is this - how do children learn individual words in a stream of sounds where word boundaries are not clearly demarcated? This algorithm shows that this problem probably has a statistical solution! Read the companion paper in Computational Linguistics. This program has been updated (Feb 2009) to compile under GCC 4.1.2 on request from the community.

• The SGI STL reference! It has seen me through some tough times before STL documentation was more accessible and still comes in handy.

• The SRI language modeling toolkit.