面向教材文本智能改编的教师语料库素养及实践应用

Incorporating teacher corpus literacy into data-driven adaptation of texts in teaching materials

教材文本智能改编主要包括机器定级后教师改编、机器标注后教师改编、机器替换后教师改编三种范式,每种范式都有各自的适用方法与应用工具。本文介绍了智能改编的三种范式,并结合语料库知识、语料库技术操作技能与语料库教学应用技能三个维度,阐释每种范式所需的教师语料库素养。文章进而通过在职外语教师培训案例,探讨了提升教师语料库素养及智能改编能力的可行路径。

Texts in teaching materials can often be adapted by three data-driven paradigms,namely readability assessment for adaptation,complex word and sentence identification for adaptation,and complex sentence replacement for adaptation,each of which has its typical methods and novel tools.This paper introduces the three paradigms and elaborates on the three-dimensional corpus literacy needed for teachers'data-driven text adaptation,including corpus linguistics knowledge,technical skills and pedagogical skills.Through a case of in-service foreign language teacher training,it further discusses a feasible path to developing teachers'corpus literacy and competence for data-driven text adaptation.