We discuss results on the shared task of Romanian-English word alignment. The baseline technique is that of symmetrizing two word alignments automatically generated using IBM Model 4. A simple vocabulary reduction technique results in an improvement in performance. We also report on a new alignment model and a new training algorithm based on alternating maximization of likelihood with minimization of error rate.
CITATION STYLE
Fraser, A., & Marcu, D. (2005). ISI’s participation in the Romanian-English alignment task. In Texts@ACL 2005 - Building and Using Parallel Texts: Data-Driven Machine Translation and Beyond, Proceedings of the Workshop (pp. 91–94). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1654449.1654466
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