Xorijiy lingvistika va lingvodidaktika
–
Зарубежная
лингвистика
и
лингводидактика
–
Foreign
Linguistics and Linguodidactics
Journal home page:
https://inscience.uz/index.php/foreign-linguistics
The importance of Artificial Intelligence in teaching of
translation theory and practice
Shahram ASLONOV
Samarkand State Institute of Foreign Languages
ARTICLE INFO
ABSTRACT
Article history:
Received August 2024
Received in revised form
10 August 2024
Accepted 25 September 2024
Available online
15 October 2024
This article discusses the significant role of artificial
intelligence (AI) in teaching translation theory and practice. AI
tools enable students to visualize theoretical concepts, practice
real-time translation, and receive personalized feedback. While AI
enhances educational outcomes, it is essential to balance its use
with traditional methods to promote creativity and critical
thinking. The article highlights how AI's adaptive learning
algorithms and practical applications can reshape the future of
translation education.
2181-3701
/©
2024 in Science LLC.
https://doi.org/10.47689/2181-3701-vol2-iss5-pp50-53
This is an open-access article under the Attribution 4.0 International
(CC BY 4.0) license (
https://creativecommons.org/licenses/by/4.0/deed.ru
Keywords:
Artificial Intelligence,
translation theory,
translation practice,
neural machine translation,
personalized learning,
language education,
linguistics,
ethics in AI.
Tarjima nazariyasi va amaliyotini o'qitishda sun'iy
intellektning ahamiyati
ANNOTATSIYA
Kalit so‘zlar
:
sun’iy intellekt,
tarjima nazariyasi,
tarjima amaliyoti,
seyron mashinasi tarjimasi,
shaxsiylashtirilgan
o‘rganish,
til ta’limi,
tilshunoslik,
AI etikasi.
Ushbu maqolada tarjima nazariyasi va amaliyotini o‘qitishda
sun’iy intellektning (AI) roli muhokama
qilinadi. AI vositalari
talabalarga nazariy tushunchalarni tasavvur qilish, real vaqt
rejimida tarjima qilish va shaxsiy fikr-mulohazalarni olish
imkonini beradi. AI ta’lim natijalarini yaxshilagan bo’lsa
-da,
ijodkorlik va tanqidiy fikrlashni rivojlantirish uchun uni
an’anaviy usullar bilan muvozanatlash juda muhimdir. Maqolada
sun’iy intellektning moslashuvchan o‘rganish algoritmlari va
amaliy ilovalari tarjima ta'limining kelajagini qanday
o‘zgartirishi mumkinligi ta’kidlangan.
1
Teacher, Department of English Philology. Samarkand State Institute of Foreign Languages.
E-mail: shahram.aslonov@mail.ru
Xorijiy lingvistika va lingvodidaktika
–
Зарубежная лингвистика
и лингводидактика
–
Foreign Linguistics and Linguodidactics
Issue
–
2
№
5 (2024) / ISSN 2181-3701
51
Значение искусственного интеллекта в преподавании
теории и практики перевода
АННОТАЦИЯ
Ключевые слова:
искусственный интеллект,
теория перевода,
практика перевода,
нейронный машинный
перевод,
персонализированное
обучение,
языковое образование,
лингвистика,
этика в ИИ
.
В этой статье обсуждается важная роль искусственного
интеллекта (ИИ) в преподавании теории и практики
перевода. Инструменты ИИ позволяют студентам
визуализировать теоретические концепции, практиковать
перевод
в
реальном
времени
и
получать
персонализированную обратную связь. Хотя ИИ улучшает
результаты
обучения,
важно
сбалансировать
его
использование с традиционными методами для поощрения
креативности и критического мышления. В статье
подчеркивается, как адаптивные алгоритмы обучения ИИ и
практические приложения могут изменить будущее
переводческого образования.
INTRODUCTION
In recent years, the role of artificial intelligence (AI) has expanded beyond
traditional applications to enter various fields, including education. One of the areas where
AI has shown tremendous promise is in the teaching of translation theory and practice.
The integration of AI in translation studies enhances learning outcomes, offers innovative
tools for translators, and reshapes the way educators deliver complex linguistic concepts.
This article explores the growing significance of AI in translation education, focusing on
how it transforms both theoretical understanding and practical applications.
AI in Translation Theory
Translation theory often involves abstract concepts such as equivalence, cultural
adaptation, and linguistic relativity. Traditionally, students engage with these concepts
through lectures, readings, and case studies. However, AI offers an innovative way to
visualize and understand these theoretical aspects. Machine learning algorithms can
analyze and present data on linguistic patterns, enabling students to observe real-time
applications of translation theory.
For example, AI-based tools can provide automatic translations followed by detailed
analyses that highlight syntactic, semantic, and pragmatic shifts between the source and
target texts. This process helps students to understand the impact of these shifts, offering
a practical framework for discussing translation strategies. AI's ability to process vast
amounts of linguistic data also allows students to study language pairs that are less
commonly analyzed, expanding their theoretical knowledge base.
AI in Translation Practice
While theory is essential, translation practice is equally important. AI tools have
dramatically changed how translation is taught and practiced. AI-powered platforms like
neural machine translation (NMT) systems have become commonplace in professional
translation work, but their role in the classroom is increasingly vital as well.
For instance, students can use AI-driven translation tools to practice real-time
translation. These platforms allow them to compare their translations with AI-generated
ones, offering opportunities for self-assessment. By observing where their work diverges
Xorijiy lingvistika va lingvodidaktika
–
Зарубежная лингвистика
и лингводидактика
–
Foreign Linguistics and Linguodidactics
Issue
–
2
№
5 (2024) / ISSN 2181-3701
52
from machine-generated output, students can better understand how human translators
navigate linguistic challenges such as ambiguity, context, and cultural nuance
—
areas
where AI still struggles.
Moreover, AI can provide feedback through error detection, identifying issues such
as grammatical inconsistencies, mistranslations, or improper use of terminology. This
constant, data-driven feedback helps students refine their translation skills in ways that
manual review processes would not be able to do at scale.
Personalized Learning with AI
Another significant benefit of AI in translation education is personalized learning. AI
systems can track individual student performance, identify areas for improvement, and
suggest targeted exercises or resources. For example, an AI system may notice that a
student consistently struggles with idiomatic translations. It can then generate practice
exercises tailored to that student’s weaknesses, reinforcing key skills in a personalized and
efficient manner.
AI can also simulate real-world translation scenarios, where students face tight
deadlines or difficult language pairs, helping them build practical skills that are highly
sought after in the industry. Through adaptive learning algorithms, AI tools can adjust the
difficulty level of assignments to match students' proficiency, ensuring optimal
engagement and progress.
Ethical Considerations
While AI offers many benefits in the teaching of translation theory and practice, it is
also important to address ethical concerns. One of the primary challenges is over-reliance
on AI tools, which might limit students' development of critical thinking skills and
creativity. Furthermore, AI systems may perpetuate biases present in their training data,
leading to inaccuracies in translation, especially when dealing with culturally sensitive
materials. Therefore, educators must balance the use of AI with traditional pedagogical
approaches and emphasize critical analysis of machine-generated outputs.
CONCLUSION
AI has become a transformative tool in the teaching of translation theory and
practice. It offers opportunities for enhanced learning through real-time analysis,
feedback, and personalized education, bridging the gap between theoretical concepts and
practical applications. However, it is crucial to use AI as a complement to human creativity
and critical thinking, rather than as a replacement. The future of translation education lies
in a balanced integration of technology and human expertise.
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Xorijiy lingvistika va lingvodidaktika
–
Зарубежная лингвистика
и лингводидактика
–
Foreign Linguistics and Linguodidactics
Issue
–
2
№
5 (2024) / ISSN 2181-3701
53
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