Many phrase alignment models operate over the combinatorial space of bijective phrase alignments. We prove that finding an optimal alignment in this space is NP-hard, while computing alignment expectations is #P-hard. On the other hand, we show that the problem of finding an optimal alignment can be cast as an integer linear program, which provides a simple, declarative approach to Viterbi inference for phrase alignment models that is empirically quite efficient. © 2008 Association for Computational Linguistics.
CITATION STYLE
Denero, J., & Klein, D. (2008). The complexity of phrase alignment problems. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 25–28). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1557690.1557698
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