智能英语阅读词汇难度测量学习系统设计与实现  

Design and implementation of intelligent system for English text lexical difficulty measurement and vocabulary acquisition based on Python

作　　者：姜辉[1] 周子豪 JIANG Hui;ZHOU Zihao(Research and Teaching Institute of College Foreign Languages,Bohai University,Jinzhou 121013,China;College of Information Science and Technology,Bohai University,Jinzhou 121013,China)

机构地区：[1]渤海大学大学外语教研部,辽宁锦州121013 [2]渤海大学信息科学与技术学院,辽宁锦州121013

出　　处：《渤海大学学报（自然科学版）》2023年第3期270-277,共8页Journal of Bohai University:Natural Science Edition

基　　金：大学生创新创业项目(No:X202310167234);教育部产学研项目(No:220805340022328).

摘　　要：词汇难度测量一直都是英语阅读文本难度测量领域的热门话题.但是我国词汇难度测量存在测量基准照搬国外、测量目的忽视学习者词汇习得,缺少智能化、学习化工具的问题.因此基于Python技术,提出以本土化词表为基准,以精准确定阅读文本词汇难度,同时促进学习者词汇习得为主要目的,自主研发英语阅读文本词汇难度智能测量及学习系统.旨在立足本土,为中国学生量身定制英语阅读词汇难度测量及学习新方案,文工结合,交叉融合语料库语言学与Python软件技术,响应国家“四新”建设新号召.Lexical difficulty measurement has always been the key issue in English text difficulty measurement.But there are still some problems in this field domestically,such as the copy measurement criterion from abroad,the neglecting of learners and the shortage of intelligent learning-oriented tools.For these reasons,this study designs an intelligent system which is based on Chinese wordlist and aimed at accurate grading and enhancing students'vocabulary acquisition by Python.The purpose of this study is to tailor a new English text lexical difficulty measurement and learning-oriented system for Chinese students and combine corpus linguistics with Python to answer the recall of“Four New Constructions”.

关 键 词：英语阅读文本词汇难度 智能测量及学习系统 设计与实现 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]