Our experiment demonstrates that, if appropriate high-quality bilingual lexicons are available, it is feasible to rapidly generating prototype systems with a good lexical coverage with our automatic approach.
our experiment also shows that, in order to achieve a high precision, parallel/comparable corpus based disambiguation is needed for identifying precise translation equivalents, and a certain amount of manual cleaning and improvement of the automatically generated semantic lexicons is indispensible.