Cautious Steps towards Hybrid Connectionist Bilingual Phrase Alignment

We 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.

@InProceedings{WC97,
 	 author =  {Wermter, Stefan and Chen, Joseph},
 	 title = {Cautious Steps towards Hybrid Connectionist Bilingual Phrase Alignment},
 	 booktitle = {Recent Advances in Natural Language Processing},
 	 journal = {None},
 	 editors = {Nicolov, Nicolas; Mitkov, Ruslan},
 	 number = {}
 	 volume = {2},
 	 pages = {364--368},
 	 year = {1997},
 	 month = {}
 	 publisher = {John Benjamins Publishing Company},
 	 doi = {}
 }