Unlike the noisy-channel model, the joint source-channel model does not try to capture how source names can be mapped to target names, but rather how source and target names can be generated simultaneously.
we estimate a joint probability model that can be easily marginalized in order to yield conditional probability models for both transliteration and back-transliteration.