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Training Nondeficient Variants of IBM-3 and IBM-4 for Word Alignment

Thomas Schoenemann

The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013)
Sofia, Bulgaria, August 4-9, 2013


We derive variants of the fertility based models IBM-3 and IBM-4 that, while maintaining their zero and first order parameters, are nondeficient. Subsequently, we proceed to derive a method to compute a likely alignment and its neighbors as well as give a solution of EM training. The arising M-step energies are non-trivial and handled via projected gradient ascent.

Our evaluation on gold alignments shows substantial improvements (in weighted F-measure) for the IBM-3. For the IBM-4 there are no consistent improvements. Training the nondeficient IBM-5 in the regular way gives surprisingly good results.

Using the resulting alignments for phrase-based translation systems offers no clear insights w.r.t. BLEU scores.

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