Blunsom & Cohn (2006) use Viterbi decoding to find an alignment of two sentences given a trained CRF model, a * argmax a P Λ (a|C i , C j ).
out of the models they describe, the HMM models are the most expressive models that can compute posterior probabilities using the forward-backward algorithm.