PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Overview of Morpho Challenge 2009
Mikko Kurimo, Sami Virpioja, Ville Turunen, Graeme W. Blackwood and William Byrne
In: Multilingual Information Access Evaluation Vol. I-II, 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI, Vol. 6241 . (2010) Springer , Berlin .

Abstract

In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme anal- yses for words in different 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 differ- 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:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Natural Language Processing
Speech
Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:7282
Deposited By:Mikko Kurimo
Deposited On:16 March 2011