Addresses fundamental issues to solve the classic problems with machine
translation
Recounts the little known background of early events affecting the
history of machine translation
Identifies 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)