However, the bilingual model explicitly joins each aligned word-pair into a single coupled state.
when a complete tag lexicon is provided, our unsupervised model achieves an average accuracy of 95%, in comparison to 91% for an unsupervised monolingual Bayesian HMM and 97.4% for its supervised counterpart.