Addresses fundamental issues to solve the classic problems with machine translationRecounts the little known background of early events affecting the history of machine translationIdentifies complexity as principal reason why machine translation has had limited success Illustrates problems of ambiguity and complexity in various present-day machine translation models, rule-based (RBMT), statistical (SMT) and neural MT (NMT)weiterlesen