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)
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