UDC 004.85
THE ROLE OF ENGLISH IN TEACHING AND
IMPLEMENTING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Kuksina O.I., Riabko M.A.
Abstract. This
article examines the importance of English in the context of artificial
intelligence (AI) and machine learning (ML) training and implementation. The
role of English as a key tool for communication, access to educational
resources, participation in international conferences and interaction with
international colleagues and customers is analyzed. The challenges facing AI
and ML professionals in the context of using English are also discussed, and
recommendations are offered for its effective acquisition and use.
Key words: English
language, education, implementation, artificial intelligence, machine learning,
communication, international resources, international cooperation, educational
materials, teaching methods.
Introduction.
The
modern world of technology is characterized by rapid development and
implementation of new innovative solutions, such as artificial intelligence and
machine learning. In this field, the English language plays an important role
as the primary tool for communication and knowledge exchange.
The
English language and artificial intelligence (AI) are two spheres that are
becoming increasingly interconnected in the modern world. English is the key
language for communication among people, while artificial intelligence is a
field of computer science that is aimed at creating systems capable of
performing tasks that typically require human intelligence.
One
of the main areas where the English language and artificial intelligence
converge is natural language processing (NLP). This is a field of artificial
intelligence that allows computers to analyze, understand, and generate a
natural language. NLP systems use algorithms and statistical models to
recognize and interpret texts, speech, and communication in English.
With
the development of NLP, the capabilities of artificial intelligence are
expanding in the areas of automatic translation, sentiment analysis in social
media, and many other applications. This significantly simplifies communication
and information exchange on a global scale, as AI systems can translate texts
into different languages and process large volumes of information in a short
period of time.
Moreover,
the English language plays an important role in the training and education of
artificial intelligence systems. Many research and developments in the field of
AI are conducted in English, and numerous online resources and documentation
are available in this language, making it the primary means of communication
and knowledge exchange in the field of AI.
In
this article, we will explore the role of the English language in the training
and implementation of artificial intelligence and machine learning, as well as
identify the challenges faced by professionals in this field.
The role of the English language in training
and implementation of artificial intelligence and machine learning.
English
is one of the most popular languages in the world. In Figure 1 you can see the
number of English speakers in different countries all over the world.
Figure 1 – English speakers by country
In
Figure 2 you can see how many people use English as their main language while
chatting, surfing the Web and doing other activities in the Internet.
Figure 2 – Languages used on the Internet
One
of the key aspects which ensures English a leading position among commonly used
languages is that its knowledge gives
people access to educational
resources. Most educational materials, books, and online courses on AI and
ML are presented in English, making it a necessary tool for mastering this
field of knowledge.
Learning
artificial intelligence needs a good command of English to communicate and share knowledge with
colleagues and experts in this field who live and work in other countries.
Proficiency in the English language facilitates communication and enables
participation in international scientific discussions, conferences, seminars and
projects which contributes to expanding horizons and professional development
of specialists in the field of artificial intelligence.
Knowledge
of the English language is an important factor for a successful career
in the field of artificial intelligence. Specialists proficient in English have
more opportunities to take part in international projects, gain access to
advanced technologies and methodologies, attract investments from international
companies and organizations and develop partnerships with them.
The
implementation of AI and ML technologies also requires confident mastery
of the English language. Interacting with international clients, publishing
scientific results in English, participating in international projects make
knowledge of the English language compulsory for successful work in this field.
The global market for AI and ML technologies is closely linked to international
business. Discussion of problems devoted to AI with customers from different
countries requires effective communication in English. Understanding client
requirements, conducting negotiations, and presenting project results all
require proficiency in the language at a high level. It is a common practice
for scientists and researchers in the field of AI and ML to publish scientific
papers describing the results of their investigations in international journals
and editions. The mere fact that most of these publications are in English
underscores the importance of language proficiency for effective dissemination
of scientific knowledge and research results. Collaboration in international
projects for the development and implementation of AI and ML technologies
requires communication with partners and colleagues from different countries. Strategy
discussions, algorithm development, joint solution of problems are possible
only when there is a common language - English.
Challenges and Recommendations.
Despite
the importance of the English language, specialists in the field of artificial
intelligence and machine learning face several challenges in its acquisition
and application.
For
many individuals, including developers, programmers, and other professionals from
related fields who are involved in software development, computer systems, or
other software products, learning English should not pose a significant
obstacle. The developers who utilize modern technologies for system development
often encounter the English language when learning programming languages or
studying software interfaces. The syntax of many programming languages contains
letters of the English alphabet or English words. Additionally, documentation
is often written in English. However, for novice developers, a lack of basic
English language skills may present some challenges.
Some
of these challenges are described in Table 1:
Table 1 – Challenges
|
Challenge |
Description |
|
Technical specialized vocabulary |
The development and
implementation of AI and ML often require an understanding of technical
terminology and specialized concepts that may be difficult to translate into
other languages. This can create difficulties for specialists whose native
language is not English. |
|
Understanding
context and cultural differences |
The English language
often includes expressions and idioms that may be difficult to understand
without context and knowledge of cultural nuances. This can hinder
communication with English-speaking colleagues and clients. |
|
Accent and
pronunciation |
For many speakers of
other languages, English can be challenging due to its diverse accents and
pronunciations. This can create difficulties in understanding speech and
engaging in conversations in English. |
These
challenges can be overcome through active engagement with the language,
participation in language courses and training events, and continuous
self-learning to improve language proficiency. A person can choose any way of
learning a language, improving, broadening its knowledge which he or she
considers to be the most suitable for their personality. Every method is viable, and each of the
recommendations given can help achieve the desired result in one of the
ways.
To
overcome these challenges, the following recommendations can
be suggested:
Table 2 – Recommendations
|
Recommendation |
Description |
|
Use English actively
in everyday practice |
Regular
communication in English, both orally and in writing, helps improve
communication skills and confidence in using the language. |
|
Attend various
language courses and training events |
Participation in
English language courses specifically tailored for specialists in the field
of AI and ML will help develop technical terminology and communication skills
in this area. |
|
Self-learn |
Continuous study of
new technical terms, reading scientific articles, and participation in
international forums and discussions will help expand vocabulary and maintain
English language skills at a high level |
These
recommendations will assist specialists in the field of AI and ML to overcome
challenges associated with the use of the English language and enhance the
efficiency of their work.
Conclusion.
In
conclusion, it is evident that the English language serves as a cornerstone in
both the educational journey and practical application of artificial
intelligence and machine learning. Its significance transcends mere
communication; rather, it acts as a catalyst for innovation and progress within
these domains. Through proficient use of English, specialists are empowered to
engage in a dynamic exchange of ideas, collaborate on international
initiatives, and spearhead the integration of cutting-edge technologies. This
linguistic proficiency not only facilitates seamless communication among
professionals but also ensures that insights and advancements in AI and ML are
disseminated globally. As a result, the collective efforts of experts fluent in
English propel the field forward, driving advancements, fostering
collaborations, and ultimately shaping the future landscape of artificial
intelligence and machine learning.
References
1.
Hasman M. A. The role of English in the 21st century
//Tesol Chile. – 2004. – Т. 1. – №. 1. – С. 18-21.
2.
Hunt
E. B. Artificial intelligence. – Academic Press, 2014.
3.
McCarthy
J. et al. What is artificial intelligence. – 2007.
4.
Rusmiyanto, R., Huriati, N., Fitriani, N., Tyas, N., Rofi’i, A., & Sari, M. (2023). The Role Of Artificial Intelligence (AI) In Developing English
Language Learner’s Communication Skills. Journal on Education, 6(1), 750- 757.
5.
Ur
P. A course in English language teaching. – Cambridge University Press, 2012.
Аннотация.
В данной статье рассматривается важность
английского языка в контексте обучения и внедрения искусственного интеллекта
(ИИ) и машинного обучения (МО). Анализируется роль английского языка как
ключевого инструмента коммуникации, доступа к образовательным ресурсам, участия
в международных конференциях и взаимодействия с международными коллегами и
заказчиками. Также обсуждаются вызовы, стоящие перед специалистами в области ИИ
и МО в контексте использования английского языка, и предлагаются рекомендации
для его эффективного освоения и применения.
Ключевые
слова: английский язык, обучение, внедрение,
искусственный интеллект, машинное обучение, коммуникация, международные ресурсы,
международное сотрудничество, образовательные материалы, методы обучения.
СВЕДЕНИЯ
ОБ АВТОРАХ
Куксина Ольга
Ивановна – старший преподаватель кафедры английского
языка, ФГБОУ ВО «Донецкий национальный технический университет», Донецк, ДНР,
Российская Федерация
Рябко
Максим Алексеевич магистрант кафедры
автоматизированных систем управления, ФГБОУ ВО «Донецкий национальный
технический университет», Донецк, ДНР, Российская Федерация