Overview and results of Morpho Challenge 2009
In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme anal- yses for words in dierent languages were evaluated in various practical applications. Morpheme analysis is particularly useful in speech recognition, information retrieval and machine translation for morphologically rich languages where the amount of dier- ent word forms is very large. The evaluations consisted of: 1. a comparison to gram- matical morphemes, 2. using morphemes instead of words in information retrieval tasks, and 3. combining morpheme and word based systems in statistical machine translation tasks. The evaluation languages in 2009 were: Finnish, Turkish, German, English and Arabic. This overview paper describes the tasks, evaluation methods, and obtained results. The Morpho Challenge is part of the EU Network of Excellence PASCAL Challenge Program and organized in collaboration with CLEF.