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MALLET (A Machine Learning for Language Toolkit) is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text
This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.
Jahmm (pronounced "jam"), is a Java implementation of Hidden Markov Model (HMM) related algorithms. It's been designed to be easy to use (e.g. simple things are simple to program) and general purpose. It is available under the new BSD license. This library is reasonably efficient ... [More]
Aboutartifigence is a HMM-based Recognizer written in Python. The principle of design is to be as simple as possible and easy to use. Currently artifigence is used to do OCR (Optical Character Recognition), and hope in the future besides OCR it can be used in HMM-based application, such as speech ... [More]
A voice recognition software for trade in exchange. That uses Hidden Markov Model for identify the order and converts it into a FIX message.