# Posterior Marginal Probability Function

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**See:** HMM, Posterior Probability Function, Marginal Probability Function.

## References

### 2006

- (Percy et al., 2006) ⇒ Liang Percy, Ben Taskar, and Dan Klein. "Alignment by Agreement.” In: Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics.
- QUOTE: … where each [math]\displaystyle{ q(\mathbf{z};\mathbf{x}) := … }[/math] is the posterior marginal probability of the (i, j) edge being present (or absent) in the alignment according to each model, which can be computed separately and efficiently.