Content area

Abstract

With the popularization of internet, cyber language is used more and more frequently. The network language has formed a unique system of computer language library. So studying of computer language has great significance to the development of the network language. Language library capacity cant be unlimited expansion. To enhance the computer language network function we must use correlation algorithm to simplify the computer language. In this paper, an improved method based on the network language new is proposed. We apply the neural network speech recognition model with multi hierarchy recognition technology to computer language, and put forward TEI model of computer network language identification. We use the VB program to call on the MATLAB software, successfully simplify the complex recognition process of the network language. At the same time, computer network language also has certain reference value for English language learning. It can help learners to avoid the negative effects of network language on the English language.

Details

Title
Study on the Optimization of Complex Computer Network Language Based on TEI Model
Publication title
Volume
513-517
Source details
Applied Science, Materials Science and Information
Pages
2345-2349
Publication year
2014
Publication date
Feb 2014
Publisher
Trans Tech Publications Ltd.
Place of publication
Zurich
Country of publication
Switzerland
ISBN
978-3-03835-012-5
ISSN
16609336
e-ISSN
16627482
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
1718999745
Document URL
https://www.proquest.com/scholarly-journals/study-on-optimization-complex-computer-network/docview/1718999745/se-2?accountid=208611
Copyright
Copyright Trans Tech Publications Ltd. Feb 2014
Last updated
2023-11-19
Database
ProQuest One Academic