To the best of our knowledge, we are the first to be dedicated to systematically investigating whether supersenses can be used in SMT to alleviate source word sense translation errors.
we try to model supersenses for SMT in the following two ways: • A maximum entropy (MaxEnt) based model: Building multiple MaxEnt classifiers with one classifier per source word type, which incorporate supersenses as features.