This confirms the results given in (Lardilleux et al., 2009) that the sampling-based approach excels in aligning unigrams, which makes it better at multilingual lexicon induction than, e.g., MGIZA++.
its phrase tables do not reach the performance of symmetric alignments from MGIZA++ on translation tasks.