Automatic Scoring Model of English Interpretation Based on Semantic Scoring

Abstract

In order to explore how English interpreting can achieve automatic scoring, the author proposes an automatic scoring model for English interpreting based on semantic scoring. This method recommends key technical problems and solutions based on information represented by semantic scoring, and explores the research on how interpreting can achieve automatic scoring of oral examinations. Research has shown that, the automatic scoring of English interpretation based on semantic scoring is faster than traditional methods, and the efficiency is improved by about 75%. However, the current automatic scoring of interpreters faces huge challenges. It needs to be tested and improved in more teaching, learning, and testing practice. The automatic scoring of interpretation should consider multiple dimensions such as semantic accuracy, content integrity, expressive fluency, and language authenticity.