基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Math word problem uses a real word story to present basic arithmetic operations using textual narration. It is used to develop student’s comprehension skill in conjunction with the ability to generate a solution that agrees with the story given in the problem. To master math word problem solving, students need to be given fresh and enormous amount of problems, which normal textbooks as well as teachers fail to provide most of the time. To fill the gap, a few research works have been proposed on techniques to automatically generate math word problems and equations mainly for English speaking community. Amharic is a Semitic language spoken by more than hundred million Ethiopians and is a language of instruction in elementary schools in Ethiopia. And yet it belongs to one of a less resourced language in the field of linguistics and natural language processing (NLP). Hence, in this paper, a strategy for automatic generation of Amharic Math Word (AMW) problem and equation is proposed, which is a first attempt to introduce the use template based shallow NLP approach to generate math word problem for Amharic language as a step towards enabling comprehension and learning problem solving in mathematics for primary school students. The proposed novel technique accepts a sample AMW problem as user input to form a template. A template provides AMW problem with placeholders, type of problem and equation template. It is used as a pattern to generate semantically equivalent AMW problems with their equations. To validate the reality of the proposed approach, a prototype was developed and used as a testing platform. Experimental results have shown 93.84% overall efficiency on the core task of forming templates from a given corpus containing AMW problems collected from elementary school mathematics textbooks and other school worksheets. Human judges have also found generated AMW problem and equation as solvable as the textbook problems.
推荐文章
Word中的公式编辑
Word
公式编辑
图文处理
面向 RTF 文件的 Word 漏洞分析
富文本格式
文档
软件安全
Word 漏洞利用
Word中的图形处理技术初探
Microsoft Word
图形处理
应用软件
绘制工具
基于GPU的Word文档暴力破解
暴力破解
图形处理器
word文档
RC4
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 Automatic Generation of Amharic Math Word Problem and Equation
来源期刊 电脑和通信(英文) 学科 工学
关键词 AMW Problem Automatic Problem Generation Template Based Shallow NLP Approach Question Generation Math Word Problem
年,卷(期) 2020,(8) 所属期刊栏目
研究方向 页码范围 59-77
页数 19页 分类号 TP3
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2020(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
AMW
Problem
Automatic
Problem
Generation
Template
Based
Shallow
NLP
Approach
Question
Generation
Math
Word
Problem
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
783
总下载数(次)
0
总被引数(次)
0
论文1v1指导