Omlet is an open source library providing services oriented to easily develop machine-learning based applications and experiments. Fries is an open source library useful to convert natural language sentences to feature vectors suitable to be input to Machine Learning algorithms.

OMLET provides an extensible framework where new ML algorithms and techniques can be integrated, tested, and combined.

FRIES provides an expressive feature definition language that enables the extraction of advanced patterns from input data. FRIES is specially oriented to encode Natural Language sentences and corpora into feature vectors.

OMLET & FRIES are released under the GNU General Public License of the Free Software Foundation.

C++.

Omlet was originally written by Xavier Carreras at TALP Research Center at Universitat Politecnica de Catalunya.

Fries is based on the code developed by Dan Roth’s Cognitive Computation Group at University of Illinois at Urbana Champaign (UIUC), who we thank for allowing us to distribute our modified version under GPL. Fries generalizes some of the patterns supported by the original FEX to any regular expression, and also adds new feature-building functionalities such as consulting external files.

• Documentation can be found at: http://www.lsi.upc.edu/~nlp/omlet+fries/index.php?option=com_content&task=view&id=29&Itemid=45