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A Novel Beam Search to Improve Neural Machine Translation for English-Chinese
Computers Materials & Continua
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, overcoming the weaknesses of conventional phrase-based translation systems. Although NMT based systems have gained their popularity in commercial translation applications, there is still plenty of room for improvement. Being the most popular search algorithm in NMT, beam search is vital to the translation result. However, traditional beam search can produce duplicate or missing translation due to itsdoi:10.32604/cmc.2020.010984 fatcat:jwwazm7vrje4pjlxjldowhfole