Translation, Brains and the Computer: A Neurolinguistic Solution to Ambiguity and Complexity in Mach

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)