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<h2>Results</h2>

This page contains only the result tables and proceedings. See the <a
href="P01_Kurimo.pdf">evaluation report</a> for more details.

<p><a href="participants.shtml">List of Participants</a>

<h3>Competition 1</h3>

<p>The segmentation with the highest F-measure won. The winner was selected separately for each language.

<p><a href="fmeasure.shtml">F-measure</a><br>
<a href="precision.shtml">Precision</a><br>
<a href="recall.shtml">Recall</a><br>

<h3>Competition 2</h3>

<p>The segmentation with the lowest Letter-Error-Rate (LER) won. The winner was
selected separately for each language.

<p><a href="finnish.shtml">Finnish</a><br>
<a href="turkish.shtml">Turkish</a><br>

<h2>Proceedings</h2>

<p>
Kurimo, Creutz, Varjokallio, Arisoy, Saraclar: <a href="P01_Kurimo.pdf">Unsupervised segmentation of words into morphemes - Challenge 2005 An Introduction and Evaluation Report</a><br>
Creutz, Lagus: <a href="P02_CreutzLagus.pdf">Morfessor in the Morpho Challenge</a><br>
Bernhard: <a href="P03_Bernhard.pdf">Unsupervised Morphological Segmentation Based on Segment Predictability and Word Segments Alignment</a><br>
Bordag: <a href="P04_Bordag.pdf">Two-step Approach to Unsupervised Morpheme Segmentation</a><br>
Keshava, Pitler: <a href="P05_KeshavaPitler.pdf">A Simpler, Intuitive Approach to Morpheme Induction</a><br>
Johnsen: <a href="P06_Johnsen.pdf">Morphological learning as principled argument</a><br>
Atwell, Roberts: <a href="P07_Atwell.pdf">Combinatory Hybrid Elementary Analysis of Text</a><br>
Jordan, Healy, Keselj: <a href="P08_Jordan_Swordfish.pdf">Swordfish: Using Ngrams in an Unsupervised Approach to Morphological Analysis</a><br>
Dang, Choudri: <a href="P09_DangChoudri.pdf">Simple Unsupervised Morphology Analysis Algorithm (SUMAA)</a><br>
Rehman, Hussain: <a href="P10_RehmanHussain.pdf">Unsupervised Morphemes Segmentation</a><br>

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