The Research Of Network Typos From The Perspective Of Pinyin Input Method

In the recent years, with the rapid popularization of pinyin input, the network has appeared more and more wrong words, many people attribute the faults to lots of same codes in Pinyin input. In this paper, based on the research findings and experience of the traditional wrong words, firstly classify the samples of the network typos which have been collected, and then analysis their causes deeply, and thus to find the relevant strategies to reduce the frequency of network typos appearance.Network typos samples extracted from the portal site of the sports news as well as the university BBS in the post, the whole process is divided into the pre-study and formal research. pre-study object is Sohu sports news and Xuesi Lake BBS in the post, the official research objects are the sports news from Sohu, Netease, Sina, Tencent, as well as the Blue Star BBS, Yat-sen time BBS, Drink from the Source BBS, SMTH BBS in the post. Formal survey collected the 1365 sentence samples,1688 wrong words in all.The main job of this research is to analysis and research three aspects of the network typos, the main elements are briefly described below:1,Types of characteristics:Firstly, classify the spelling mistakes samples of the network news and online chat in detail. Secondly, analyse the respective characteristics of two types of spelling and compare them.2,Genetic Analysis:Based on the overall analysis of the causes, analyse the mistakes in the choice of words and wrong buttons deeply.3,Countermeasures Study:put forward the countermeasures from the perspective of users and developers to reduce the frequency of the network spelling mistakes appearances.Finally, the paper summarizes the results of research to find the problems in the study and further research directions.