Research Article
Discourse Analysis of Chinese Culture Translation Based on Crawler Algorithm
@INPROCEEDINGS{10.1007/978-3-031-23950-2_50, author={Rui Zhang}, title={Discourse Analysis of Chinese Culture Translation Based on Crawler Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Crawler algorithm Cultural translation Similarity}, doi={10.1007/978-3-031-23950-2_50} }- Rui Zhang
Year: 2023
Discourse Analysis of Chinese Culture Translation Based on Crawler Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_50
Abstract
This paper studies the discourse analysis of Chinese cultural translation based on crawler algorithm. In recent years, the research of cultural translation has gradually become one of the research hotspots and difficulties in the field of translation. In order to improve the efficiency of discourse analysis of cultural translation and filter out most foreign translations with similar structure, an intelligent crawling algorithm is proposed. This paper first defines the concept of cultural translation, and then systematically combs the research of cultural translation. According to the location of nodes, the depth of DOM tree and the number of nodes with the same depth, the weight is assigned to each node, and then the similarity of cultural translation is calculated according to the given formula; On the basis of similarity, using the idea of aggregation hierarchical clustering, the cultural translation with similar structure is clustered into a group, leaving only one cultural translation in each group, so as to remove most cultural translation with similar structure. The experimental results show that the intelligent crawling algorithm can effectively reduce the cultural translation with similar structure and improve the inspection efficiency of vulnerability inspection system. On the basis of relevant data statistics, this paper summarizes the context, trend and existing problems of domestic research, and finally analyzes and prospects its current situation and work.
