Connectionists: Unsupervised segmentation of words into morphemes -- Challenge 2005

[Krista Lagus]

Unsupervised segmentation of words into morphemes -- Challenge 2005
	http://www.cis.hut.fi/morphochallenge2005/

   Part of the EU Network of Excellence PASCAL Challenge
         Program. Participation is open to all.


The objective of the Challenge is to design a statistical machine
learning algorithm that segments words into the smallest
meaning-bearing units of language, morphemes. Ideally, these are basic
vocabulary units suitable for different tasks, such as text
understanding, machine translation, information retrieval, and
statistical language modeling.

The scientific goals are:

    * To learn of the phenomena underlying word construction in
      natural languages
    * To discover approaches suitable for a wide range of languages
    * To advance machine learning methodology

The results will be presented in a workshop arranged in connection
with other PASCAL challenges on machine learning.

Program Committee (the list is increasing):

Levent Arslan, Boðaziçi University
Samy Bengio, IDIAP
Tolga Cilogu, Middle-East Technical University
John Goldsmith, University of Chicago
Kadri Hacioglu, Colorado University
Chun Yu Kit, City University of Hong Kong
Dietrich Klakow, Saarland University
Jan Nouza,Technical University of Liberec
Erkki Oja, Helsinki University of Technology

Please read the rules and see the schedule. The datasets are available
for download at

     http://www.cis.hut.fi/morphochallenge2005/


We are looking forward to an interesting competition!

    Mikko Kurimo, Mathias Creutz and Krista Lagus
    Neural Networks Research Centre, Helsinki University of Technology
    The organizers



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Dr. Krista Lagus      Krista.Lagus at hut.fi   www.cis.hut.fi/krista/
Neural Networks Research Centre, Helsinki University of Technology
P.O.Box 5400 (Konemiehentie 2, Espoo), FIN-02015 HUT, Finland
Tel.+358-9-451 4459  Fax +358-9-451 3277