PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Overview and results of Morpho Challenge 2009
Mikko Kurimo, Sami Virpioja, Ville Turunen, Graeme Blackwood and William Byrne
In: Morpho Challenge 2009 Workshop(2009).

Abstract

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.

EPrint Type:Conference or Workshop Item (Invited Talk)
Additional Information:Published in Working Notes for the CLEF 2009 Workshop http://www.clef-campaign.org/2009/working_notes/CLEF2009WN-Contents.html
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
Speech
Information Retrieval & Textual Information Access
ID Code:6052
Deposited By:Mikko Kurimo
Deposited On:08 March 2010