An Alignment Algorithm Using Belief Propagation and a Structure-Based Distortion Model

Abstract

In this paper, we first demonstrate the interest of the Loopy Belief Propagation algorithm to train and use a simple alignment model where the expected marginal values needed for an efficient EM-training are not easily computable. We then improve this model with a distortion model based on structure conservation.

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Cite this paper

@inproceedings{Cromiers2009AnAA, title={An Alignment Algorithm Using Belief Propagation and a Structure-Based Distortion Model}, author={Fabien Cromier{\`e}s and Sadao Kurohashi}, booktitle={EACL}, year={2009} }