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Alignment Stefan Wermter International Computer Science Institute 1947 Center Street Berkeley, CA 94704-1198 USA [email protected] Joseph Chen University of Hamburg Computer Science Department Vogt-K olln-Stra e 30 D-22527 Hamburg, Germany [email protected] Abstract 1We examine phrase alignment in a hybrid connectionist framework. We describe the architecture and the learning algorithm of our approach. Simulations have been carried out to demonstrate the feasibility of this approach using a real-world title phrase corpus. Although the results of our approach are still at an early stage, we found that a hybrid approach to phrase alignment has the potential to provide good results using relatively little training data. While there have been a lot of statistical approaches to alignment, to the best of our knowledge this is the rst hybrid connectionist approach for phrase alignment.