Constructing an Intelligent and Sharing Corpus for Interpreting Teaching: An Integrative Perspective

With the advent of multiple technologies, linguists have increasingly integrated language teaching with various information technologies, so as to reform and innovate the teaching ecology. To better apply these technologies to language teaching/learning, it is necessary to explore the design and applications of an intelligent and sharing corpus for interpreting teaching. Within this context, the current study has surveyed the requirements and demands from different stakeholders, based on which we have mapped out an interactive corpus, with the help of the Transformer Model from Natural Language Processing (NLP). Thanks to this corpus, teachers and students can share and update their interpreting materials in an interactive manner, regardless of space or time, to improve their teaching/learning efficiency. Furthermore, students can access to different types of learning materials based on their personal learning plans, and teachers can better allocate students’ learning time. Last but not least, the current study may shed lights on the combination of corpus building, interpreting teaching, and NLP.