A Laboratory Experiment in English Composition

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.

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Writing in the Devil’s Tongue A History of English Composition in China.Xiaoye You (2010) Carbondale, Illinois: Southern Illinois University Press. pp. 237 ISBN-13: 978-0-8093-2930-4. ISBN-10: 0-8093-2930-1

Writing & Pedagogy ◽

10.1558/wap.v4i1.147 ◽

2012 ◽

Vol 4 (1) ◽

Author(s):

Pauline Burton

Keyword(s):

English Composition ◽

Southern Illinois ◽

History Of ◽

Southern Illinois University

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Investigation of discontinuous periodic signals using the measuring labview complex

Quality Innovation Education ◽

10.31145/1999-513x-2020-5-72-79 ◽

2020 ◽

pp. 72-79

Author(s):

E.B. Solovyeva ◽

◽

Yu.M. Inshakov ◽

Keyword(s):

Fourier Series ◽

Laboratory Experiment ◽

Gibbs Phenomenon ◽

Electrical Signals ◽

Measuring Complex ◽

Universal Measuring ◽

Depth Study ◽

Periodic Signals ◽

Truncated Fourier Series

General approaches to the analysis of the Gibbs phenomenon for discontinuous periodic signals approximated by the truncated Fourier series are considered. Methods for smoothing the truncated Fourier series and improving its convergence are discussed. The software means for modeling is a universal measuring complex LabVIEW, which possesses a convenient environment for analyzing electrical signals, on the basis of this complex a laboratory experiment is carried out. The advantages of the measuring LabVIEW complex and its capabilities for in-depth study of discontinuous periodic signals are noted.

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