(1) The document discusses factors that influence machine translation business models, including language, available training data, and experience with machine translation. (2) It notes that some languages are better for machine translation than others, and that the amount of training data like text corpora impacts effectiveness. (3) Experience levels of both language service providers and their clients influence how easy it is to adopt machine translation solutions. The more experience, the more feasible integration tends to be.