Automatic alignment of Czech and English deep syntactic dependency trees
David Mareček, Zdeněk Žabokrtský, Václav Novák · 2008
In this paper, we focus on alignment of Czech and English tectogrammatical dependency trees. The alignment of deep syntactic de- pendency trees can be used for training transfer models for machine translation systems based on analysis-transfer-synthesis architecture. The results of our experiments show that shifting the alignment task from the word layer to the tectogrammatical layer both (a) increases the inter- annotator agreement on the task and (b) allows to construct a feature- based algorithm which uses sentence structure and which outperforms the GIZA++ aligner in terms of f-measure on aligned tectogrammatical node pairs.