版权说明 操作指南
首页 > 成果 > 详情

Text Complexity Analysis of Chinese and foreign academic English writing via mobile devices based on neural network and deep learning

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Liu, Qiucheng
通讯作者:
Liu, Q.
作者机构:
[Liu, Qiucheng] Hengyang Normal Univ, Hengyang, Peoples R China.
通讯机构:
Hengyang Normal University, Hengyang, China
语种:
英文
关键词:
Deep learning;Neural network;Mobile learning;Text complexity
期刊:
LIBRARY HI TECH
ISSN:
0737-8831
年:
2022
卷:
41
期:
5
页码:
1317-1332
机构署名:
本校为第一机构
摘要:
Purpose: In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, M...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com