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Results

This page contains only the result tables and proceedings. See the evaluation report for more details.

List of Participants

Competition 1

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

F-measure
Precision
Recall

Competition 2

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

Finnish
Turkish

Proceedings

Kurimo, Creutz, Varjokallio, Arisoy, Saraclar: Unsupervised segmentation of words into morphemes - Challenge 2005 An Introduction and Evaluation Report
Creutz, Lagus: Morfessor in the Morpho Challenge
Bernhard: Unsupervised Morphological Segmentation Based on Segment Predictability and Word Segments Alignment
Bordag: Two-step Approach to Unsupervised Morpheme Segmentation
Keshava, Pitler: A Simpler, Intuitive Approach to Morpheme Induction
Johnsen: Morphological learning as principled argument
Atwell, Roberts: Combinatory Hybrid Elementary Analysis of Text
Jordan, Healy, Keselj: Swordfish: Using Ngrams in an Unsupervised Approach to Morphological Analysis
Dang, Choudri: Simple Unsupervised Morphology Analysis Algorithm (SUMAA)
Rehman, Hussain: Unsupervised Morphemes Segmentation

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