Paper: Improved Lexical Alignment By Combining Multiple Reified Alignments

ACL ID E06-1020
Title Improved Lexical Alignment By Combining Multiple Reified Alignments
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

We describe a word alignment platform which ensures text pre-processing (to- kenization, POS-tagging, lemmatization, chunking, sentence alignment) as re- quired by an accurate word alignment. The platform combines two different methods, producing distinct alignments. The basic word aligners are described in some details and are individually evalu- ated. The union of the individual align- ments is subject to a filtering post- processing phase. Two different filtering methods are also presented. The evalua- tion shows that the combined word alignment contains 10.75% less errors than the best individual aligner.