A comparative study of neural network - based machine translation and human translation: A case study of public display language translation in yunnan tourist attractions
Xinying Xi
Yunnan Minzu University
DOI: https://doi.org/10.59429/esta.v12i3.11363
Keywords: neural network; machine translation; human translation; translation quality assessment
Abstract
With the advancement of the "Belt and Road"initiative, the internationalization degree of Yunnan's tourism is continuously increasing, with 5.8 million inbound tourists received in 2019. This study takes the public display language of Yunnan's tourist attractions as the research object and systematically compares the performance of neural machine translation (NMT) and human translation through a combination of quantitative analysis and qualitative assessment. The study reveals the limitations of machine translation in processing culturally sensitive texts and proposes an "intelligent + human"collaborative translation model along with algorithm optimization suggestions to provide practical references for the field of cultural tourism translation.
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