Design of Error Correction System Based on Deep Learning
Algorithm
You Chen
College of Foreign Studies, Guangdong University of Science and Technology,
Dongguan City, Guangdong Province, 523083, China
Keywords: Artificial Neural Network Theory, Deep Learning Algorithms, Error Correction System Design, English,
Syntax.
Abstract: The design of error correction system plays an important role in intelligent English grammar, but there is the
problem of inaccurate error correction and positioning. The traditional neural network algorithm cannot solve
the error correction system design problem in intelligent English grammar, and the effect is not satisfactory.
Therefore, this paper proposes the design of English grammar error correction system based on deep learning
algorithm and analyzes the design of English grammar error correction system. The purpose of this paper is
to explore the common problems in English grammar learning, analyze the root causes of these problems, and
put forward corresponding solutions. Through this study, we hope to provide English learners with a clearer
and more systematic approach to grammar learning.
1 INTRODUCTION
In the process of English learning and application,
grammatical errors are common problems. These
problems not only affect the accuracy of learners'
language expression, but also have a negative impact
on communication effect (Tian and Jia, 2022). The
purpose of this study is to explore the common
English grammar problems and their analysis process,
and to seek effective countermeasures to improve the
quality of English teaching and learning (Hui, 2019).
English grammar is an indispensable part of English
learning, which regulates the organization and
expression of language. However, in practical
application, many English learners often encounter
grammar problems, which not only affect their
language fluency, but also may cause
misunderstanding (Zhou, 2020). Therefore, it is of
great significance to study English grammar deeply
and put forward effective countermeasures for
improving English learners' language level.
2 RELATED CONCEPTS
2.1 Mathematical Description of the
Deep Learning Algorithm
As an important language for international
communication, the correct use of English is very
important for non-native speakers (Hui, 2019). The
purpose of this paper is to explore the corrective
strategies for common grammatical errors made by
English learners, with a view to improving their
grammatical accuracy and language application
ability (Yang and Guo, et al. 2021). Incorrect use of
tenses, such as the confusion between the present
perfect tense and the simple past tense is shown in
Equation (1).
𝑙𝑖𝑚

→∞
(𝑦

⋅𝑡

)=𝑙𝑖𝑚

→∞
𝑦

≥𝑚𝑎𝑥(𝑡

÷2)
(1
)
Grammatical errors are a common phenomenon in
learning English as a second language or a foreign
language. How to effectively identify and correct
these mistakes is the key to improve the quality of
English teaching and learning. This article will first
analyze the common types of English grammatical
errors, then explore effective corrective strategies and
discuss the best practices for implementing these
346
Chen, Y.
Design of Error Correction System Based on Deep Learning Algorithm.
DOI: 10.5220/0013543400004664
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 346-351
ISBN: 978-989-758-763-4
Proceedings Copyright © 2025 by SCITEPRESS – Science and Technology Publications, Lda.

strategies. Misuse of voice leads to unclear
expression of sentence meaning is shown in Equation
(2).
𝑚𝑎𝑥(𝑡

)=𝜕(𝑡


+2⋅𝑡

)≻
𝑚𝑒𝑎𝑛(
∑
𝑡

+4)𝔐
(2)
Subject and predicate do not match in number or
person, which leads to confusion of sentence
structure.
Suppose I Misuse of tense and voice: Involving
inconsistent use of tense and confusion between
active and passive voice is as shown in Equation (3).
𝐹(𝑑

)=
⋂
∑
𝑡

⋂
𝜉⋅
√
2 →
∮
𝑦

⋅7
(3)
2.2 Selection of Error Correction System
Design Scheme
Hypothesis II Subject-predicate inconsistency: refers
to the mismatch between subject and verb in person
and number is shown in Equation (4).
𝑔(𝑡

)=𝑥

⋅𝑧

∏
𝐹(𝑑

)


−𝑤

(4)
Misuse of articles and pronouns: including the
wrong choice of definite articles and indefinite
articles, and the misuse of pronouns in gender,
number and case as shown in Equation (5).
𝑙𝑖𝑚

→
𝑔(𝑡

)+𝐹(𝑑

)≤


𝑚𝑎𝑥(𝑡

)
(5)
Word order and sentence structure: For example,
improper position of modifiers leads to ambiguity or
ambiguity of sentence meaning is shown in Equation
(6).
√
𝑎

+𝑏

𝑔(𝑡

)+𝐹(𝑑

)

↔𝑚𝑒𝑎𝑛(
∑
𝑡

+
4)
(6)
2.3 Analysis of the Design Scheme of the Error
Correction System
Lack of adequate standard language input will lead
learners to internalize wrong grammatical rules is
shown in Equation (7).
𝑁𝑜(𝑡

)=
(

)(

)

(
∑



)
!
!
(

)
!
(7)
The grammatical structure of the first language
(L1) may influence the learning of English (L2), and
the result is shown in Equation (8).
𝑍ℎ(𝑡

)=𝑙𝑖𝑚
→
[

𝑔(𝑡

)+𝐹(𝑑

)

]
(8)
Inappropriate teaching methods and imprecise
textbooks may lead learners to form wrong grammar
knowledge is shown in Equation (9).
𝑎𝑐𝑐𝑢𝑟(𝑡

)=
[
∑
(

)(

)

]
∑
(

)(

)

×100%
(9)
Identify the types of common mistakes made by
learners through tests and assignments, then the
calculation of Equation (9) can be expressed as
Equation (10).
𝑎𝑐𝑐𝑢𝑟(𝑡

)=
𝑚𝑖𝑛[
∑
𝑔(𝑡

)+𝐹(𝑑

)

]
√
𝑏

−4𝑎𝑐
∑
𝑔(𝑡

)+𝐹(𝑑

)

+𝑟𝑎𝑛𝑑𝑜𝑛(𝑡

)
(10)
Learners' errors are compared with the target
language standard rules, and the deviations are found
out. This includes morphological errors, such as
singular and plural forms of nouns, tense and voice of
verbs, irregular changes and so on
2.4 Optimization strategy for error
correction system design
English grammar is the foundation of English
learning, and mastering grammar is very important
for improving listening, speaking, reading and
writing abilities (Xie, 2021). However, in the actual
learning process, many learners encounter grammar
problems, which not only affect their learning
efficiency, but also hinder the improvement of their
language application ability (Chen, 2020). Therefore,
it is necessary to make an in-depth study of English
grammar and divide it into (Li, 2020). English
grammar is the foundation of English learning, and
mastering grammar is very important for improving
listening, speaking, reading and writing abilities (Gu,
2021). However, in the actual learning process, many
learners encounter grammar problems, which not
only affect their learning efficiency, but also hinder
the improvement of their language application ability
(Overseas English，2020). Therefore, in-depth study
and analysis of English grammar is of great
significance for improving the overall level of
English learners.
Design of Error Correction System Based on Deep Learning Algorithm
347

3 PRACTICAL EXAMPLES OF
ERROR CORRECTION
SYSTEM DESIGN
3.1 Introduction to the Design of the
Error Correction System
Errors related to sentence structure, such as subject-
predicate inconsistency, wrong use of passive voice,
tense collocation errors and so on (Zhang and Yin,
2018). Make sure you master the basic grammar rules
of English, such as the usage of nouns, verbs,
adjectives, adverbs, prepositions and sentence
structure. This will lay a solid foundation for learning
more advanced syntax concepts is shown in Table I.
Table 1: Error correction system design requirements
Scope of
application
Grade Accuracy Error
correction
system
design
Error
detection
I 85.00 78.86
II 81.97 78.45
UI I 83.81 81.31
II 83.34 78.19
Contextual
understanding
I 79.56 81.99
II 79.10 80.11
The error correction system design process in
Table 1 is shown in Figure 1.
Deep learning Analysis
Correcting system
Neural network
Error
English
Grammar
Figure 1: The analysis process of error correction system
design
Reading English books, articles, newspapers and
magazines can help you understand the application of
English grammar in practical contexts. Observe how
the authors use different sentence patterns and
grammatical structures to express their views.
3.2 Error Correction System Design
Improve your English grammar ability by writing
practice. Try to write some short articles or diaries,
and pay attention to your grammar errors. As time
goes by, you will gradually find that you make fewer
mistakes in your writing is shown in Table 2.
Table 2: The overall picture of the error correction system
design scheme
Category Random
data
Reliability Analysis
rate
Error
detection
85.32 85.90 83.95
UI 86.36 82.51 84.29
Contextual
understanding
84.16 84.92 83.68
Mean 86.84 84.85 84.40
X6 83.04 86.03 84.32
P=1.249
3.3 Error Correction System Design
and Stability
Unclear meaning or improper use of words, including
misuse of prepositions, omission or misuse of articles,
etc.. Sign up for English courses or training courses
can help you learn English grammar systematically.
Professional teachers can provide you with
personalized guidance and feedback to help you
better understand complex concepts is shown in
Figure 2.
Figure 2: Design of error correction system with different
algorithms
There are plenty of free and paid English learning
resources on the Internet, such as tutorials, exercises,
and mock tests. Use these resources for autonomous
learning and evaluation. is shown in Table 3.
INCOFT 2025 - International Conference on Futuristic Technology
348

Table 3: Comparison of error correction system design
accuracy of different methods
Algorith
m
Surve
y data
Error
correctio
n system
design
Magnitu
de of
change
Magnitu
de of
change
Deep
learning
algorith
ms
85.33 85.15 82.88 84.95
Neural
network
algorith
ms
85.20 83.41 86.01 85.75
P 87.17 87.62 84.48 86.97
Communicating with native English speakers or
other learners can help you improve your oral skills
and help you consolidate your grammar knowledge.
Try to join an English corner, a language exchange
partner program or a related group on an online social
platform.
Figure 3: Design of error correction system for deep
learning algorithm
Inappropriate use of language in a specific
context, such as inappropriate expression of tone and
politeness. Set clear learning goals and plans for
yourself, and make sure to devote a certain amount of
time and energy to learning English every day.
Persistence in learning is one of the key factors to
improve English level.
3.4 Rationality of Error Correction
System Design
Learners should strengthen the study and training of
basic grammar rules to ensure a deep understanding
of grammar rules.
Figure 4: Design of error correction system with different
algorithms
When learning grammar, learners should pay
attention to applying grammar rules to the actual
context in order to improve their language application
ability
3.5 The Effectiveness of the Error
Correction System Design
Teachers should adopt a variety of teaching methods,
such as situational teaching and task-based teaching,
to stimulate learners' interest and enthusiasm is
shown in Figure 5 shown.
Figure 5: Design of error correction system with different
algorithms
Learners should actively participate in various
English practice activities, such as oral
communication and writing exercises, in order to
increase practical opportunities and improve their
grammar application ability. is shown in Table 4.
Design of Error Correction System Based on Deep Learning Algorithm
349

Table 4: Comparison of the effectiveness of error correction
system design of different methods
Algorithm Surve
y data
Error
correctio
n system
design
Magnitud
e of
change
Error
Deep
learning
algorithm
s
82.21 85.92 84.59 82.8
5
Neural
network
algorithm
s
83.73 84.23 84.41 83.5
5
P 84.20 87.39 84.76 83.9
0
Some traditional English teaching methods pay
too much attention to the explanation of grammar
rules, while ignoring the application in the actual
context. This kind of teaching method may lead to
learners' lack of in-depth understanding of grammar
rules and difficulty in applying them flexibly.
Figure 6: Deep learning algorithm error correction system
design
Grammar learning needs a lot of practical
opportunities, but many learners lack practical
opportunities in practical application, which leads to
a lack of in-depth understanding of grammar rules.
4 CONCLUSIONS
English grammar problems are an inevitable part of
English learning, but as long as we carefully analyze
the root causes of the problems and adopt effective
strategies to solve them, we can overcome these
problems and improve our English level. English
grammar problems are an inevitable part of English
learning, but as long as we carefully analyze the root
causes of the problems and adopt effective strategies
to solve them, we can overcome these problems and
improve our English level. The correct use of English
grammar is a constant challenge for non-native
speakers. By adopting the above strategies, educators
can improve the efficiency of correcting grammatical
errors and help learners master English more
effectively. Future research can explore more
personalized and technology-driven grammar
correction methods to adapt to the changing
educational needs.
ACKNOWLEDGMENTS
This paper is funded by the research project of
teaching quality and reform (Online course
construction and practice of The History of English
Language education based on the Superstar Fanya
Platform) in Guangdong University of Science and
Technology in 2021 (Project No.:
GKZLGC2021143).
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