Combined word alignments

Authors:
Dan Tufiş;Radu Ion;Alexandru Ceauşu;Dan Ştefánescu
Affiliations:
Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania;Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania;Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania;Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania
Venue:
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Year:
2005

Citing 10
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Abstract

We briefly describe a word alignment system that combines two different methods in bitext correspondences identification. The first one is a hypotheses testing approach (Gale and Church, 1991; Melamed, 2001; Tufiş 2002) while the second one is closer to a model estimating approach (Brown et al., 1993; Och and Ney, 2000). We show that combining the two aligners the results are significantly improved as compared to each individual aligner.