Improved Lexical Alignment by Combining Multiple Reified Alignments.
Dan Ioan Tufis, Radu Ion, Alexandru Ceauşu, Dan C. Stefanescu · Conference of the European Chapter of the Association for Computational Linguistics · 2006
We describe a word alignment platform which ensures text pre-processing (tokenization, POS-tagging, lemmatization, chunking, sentence alignment) as required 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 evaluated. The union of the individual alignments is subject to a filtering postprocessing phase. Two different filtering methods are also presented. The evaluation shows that the combined word alignment contains 10.75% less errors than the best individual aligner.