However, it is often difficult to diagnose a sampler's convergence, and mixing is notoriously slow for distributions with tightly coupled hidden variables such as PCFGs, especially when the data sets are large.
there remains a challenge for more efficient, but also accurate and deterministic inference algorithms for PCFGs.