基于网络爬虫的单词翻译器设计与研究  

Design and Research of Word Translator Based on Web Crawler

作　　者：周游宇 孙洪波[1] 梅良才[1] ZHOU Youyu;SUN Hongbo;MEI Liangcai(Beijing Institute of Technology,Zhuhai,Zhuhai,Guangdong Province,519088 China)

机构地区：[1]北京理工大学珠海学院,广东珠海519088

出　　处：《科技资讯》2021年第16期4-6,共3页Science & Technology Information

基　　金：北京理工大学珠海学院大数据研究中心(项目编号:XJ-2018-05);广东高校省级特色创新项目(项目编号:2019KTSCX217)支持。

摘　　要：该文基于机器学习中的网络爬虫技术提出了一种单词翻译器的设计与研究流程。首先,该文对Iciba网站进行爬虫,经过前期url分析,编写定向页面requests爬虫,得到单词释义和例句。其次,通过一个查询单词的通用程序框架,编写request s定向爬虫,实时获得最新的词语解释和例句。最后,该文设计了一个GUI窗体界面,用于展示相关结果,具有较好的实用性和有效性。该文提出的研究方法是机器学习相关研究领域的一个扩充,且该研究结果给教育相关领域提供了一个有效的应用产品。This paper presents the design and research flow of a word translator based on the web crawler technology in machine learning.Firstly,this paper crawled Iciba website,compiled directional page requests crawler through early url analysis,compiled the directed page requests crawler,got the word definition and example sentences.Secondly,through a general program framework for querying words,write requests directional crawler to obtain the latest word interpretation and example sentences in real time.Finally,a GUI form interface is designed to show the relevant results,which has good practicability and effectiveness.The research method proposed in this paper is an extension of the research field related to machine learning,and the research results provide an effective application product for the field related to education.

关 键 词：requests框架 网络爬虫 GUI界面编程 PYTHON 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]