scholarly journals Research and Design of Automatic Scoring Algorithm for English Composition Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yu Zhao
Keyword(s):  
Machine Learning ◽  
Development Trend ◽  
English Composition ◽  
Classroom Teaching ◽  
English Writing ◽  
Scoring Algorithm ◽  
Design Idea ◽  
Deep Integration ◽  
Automatic Scoring ◽  
Research And Design

With the development of artificial intelligence and big data, the concept of “Internet plus education” has gradually become popular, including automatic scoring system based on machine learning. Countries all over the world vigorously promote the deep integration of information technology and discipline teaching in various fields. English is a medium of communication in the current era of education information development trend. English composition automatic scoring mode is gradually accepted by the majority of educators and applied in the actual classroom teaching. However, the research of English composition automatic grading in teaching space is not perfect. Most systems have used traditional algorithms. Therefore, this paper constructs the automatic scoring algorithm and sentence elegance feature scoring algorithm of English composition based on machine learning, explores the influence of the algorithm on English writing teaching, and proves the correctness of the design idea and algorithm of this paper through a lot of experiments.

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

Electronic Information Products to form the Humanized Design Research

2011 ◽  
Vol 403-408 ◽  
pp. 2388-2391
Author(s):  
Zhi Liang Xia
Keyword(s):  
Design Research ◽  
Operating Mode ◽  
Electronic Information ◽  
Development Direction ◽  
Material Texture ◽  
Information Products ◽  
Equipment Development ◽  
Design Idea ◽  
Research And Design ◽  
External Form

Electronic information products based on ergonomics, on the basis of the research in the form in human research and design. From the electronic information products shape colour, modelling, material texture and interface aspects are studied, that "People-Oriented" design idea was fully manifested in person to use electronic devices, functional principle in operating mode, physiological, psychological, product semantics of human concern gives products, electronic equipment, more comfortable and pleasant that the external form of electronic information equipment development direction.

scholarly journals Hybrid Data Protection Framework to Enhance A2O Functionality in Production Database Virtualization

2020 ◽  
Vol 8 (6) ◽  
pp. 5691-5697
Keyword(s):  
Data Storage ◽  
Performance Indicator ◽  
Development Trend ◽  
Similar Data ◽  
Primary Role ◽  
City Development ◽  
Big Data Applications ◽  
Tightly Coupled ◽  
Deep Integration ◽  
The Impact

Deluge of information flows in the unprecedented scenario of smart city development trend, hence prone to issues on stability, reliability and availability. Smart data storage resources are vulnerable to provide functionality Always Available Online (A2O) due to their inherent heavy dependence on System Down Time (SDT), Redundant Systems and Software Failure (RS2F) or whole/ multiple site failures. In the absence of Production Database Management Services (PDMS), duplicate deployment of similar data on disjoint but similar architecture provides a Tightly Coupled Ultimate System (TCUS), which assures A2O mutually exclusive services. In this paper, we investigated active Data Guard (aDG) and Data Guard (DG) role management or switchover for a real time transition performed for database at standby state to cope up both planned maintenance and accidental RS2F events. We expose our results for deep integration of aDGs with ODB in-terms of Fast Sync to align synchronously at an ease of zero of wait states for disk I/O and configurability to Null Data Loss (NDL). Over a large range of remote or standby databases NDL make it certain to zero failover. The impact of aDG Fast-Start Failover in the cloud proximity make sure guaranteed NDL in synchronously and near NDL protection asynchronously. Hence, avoids unusual overhead impeding disk I/O and eventually on a primary database. We observe the key performance indicator in failover does not restart the standby database for primary role resumption, but introduce cloud proximity as a new primary database and the process is performed without any intervention of manual migration. The reliability of aDG Redo is flexible across not only standby databases but also primary sites running different operating system over diverse hardware platforms. The Redo capability enables migration with minimal downtime for any transaction in the clouds, therefore adds an inevitable functionality to big data applications.

Sign in / Sign up

Export Citation Format

Share Document