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Research And Implementation Of Mobile Word Segmentation

Posted on:2019-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2428330590475430Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the advent of the Internet era,especially the rapid development of mobile Internet,mobile devices are rapidly popularized,and mobile phones are also rapidly integrated into people's daily life.Some mobile terminals,such as WeChat,QQ,map and other mobile terminals,are becoming more and more active at APP days,but the efficiency of text information interaction between APP is very low.The two times of short text information is low,which can not reach the effect of processing text information at the computer end.In order to solve the problem of mobile terminal,this thesis will design a kind of word segmentation method suitable for mobile terminal,and encapsulate word segmentation into extension interface,design and implement a flexible and reasonable mobile client(Android),to make friendly and efficient interaction with other APP requiring short text information processing,and improve the migration.The processing efficiency of the text information at the moving end.The main work of the thesis is as follows:(1)In-depth research on the current mobile end port system architecture and Xposed framework,and analyze the core technology and characteristics of segmentation methods.(2)Design and implement the segmentation method suitable for mobile client applications.Through the study of three aspects of preprocessing,unlogged words recognition and ambiguity processing,the word segmentation method is implemented and encapsulated into interface.The participle interface needs to be modular design to ensure expansibility.It is provided for mobile end development.(3)The mobile end segmentation system is designed and realized,and the mobile end of the word segmentation results is presented,and then the three functions of clicking participle,replicating participle and OCR participle are realized at the mobile end,so as to improve the application of the word segmentation technology between APP,so that the efficiency of the short text information interaction is greatly improved.(4)Test the performance of the word segmentation method,test the functional requirements and non functional requirements of the whole system with the content analysis,and verify that each function can work properly,and the test results are displayed.
Keywords/Search Tags:Android, ambiguity recognition, unregistered words recognition, OCR participle
PDF Full Text Request
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