An Experiment on Translation Education Information System Driven-By Knowledge Network Management

Considering the rapid development of artificial intelligence and the transformation of learning behavior, the researchers have designed a translation education information system to provide a platform for translation educators and learners in the experiment. All translation phenomena or nodes are annotated by knowledge nodes in 6 categories, which form a knowledge network in the system. There are 56 translation node types, 165 translation terms, 235 translation texts and 2,519 pieces of annotated knowledge nodes. The research invites 26 junior undergraduates majoring in translation and interpretation in Anhui Province (China) to learn translation knowledge with the guidance of professors. The paper reveals that the system has a positive influence on the translation education process according to students’ translation scores and questionnaire results, and this conclusion is based on systematic research and concrete data, instead of impressionistic summary as used to be provided by old fashion translation teaching. Therefore, this also proves that knowledge-network driven translation teaching assisted by information technology should be widely adopted. Based on the analysis of statistical tools, the study finds that the system should be updated another 5 important translation node types.