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Sun’iy Intellekt va Raqamli Iqtisodiyot
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One of the most fundamental aspects of writing is maintaining proper grammar and
spelling. AI-powered writing tools, such as grammar checkers and spell-check applications,
provide instantaneous feedback, helping writers identify and rectify errors efficiently. These
tools not only save time but also improve overall writing accuracy, ensuring polished and
professional content.
Language Enhancement:
AI-driven language enhancement tools go beyond basic grammar and spelling
correction. They analyze context, sentence structure, and style, offering suggestions to
enhance clarity and coherence in writing. By providing alternative phrasing or vocabulary
suggestions, these tools empower writers to express their ideas more effectively, regardless
of their proficiency level.
Content Generation and Ideation:
AI algorithms are capable of generating content autonomously based on input
parameters, such as keywords or themes. This capability is particularly useful for
brainstorming ideas, generating outlines, or even creating entire articles. While AI-generated
content may require human refinement, it serves as a valuable resource for overcoming
writer's block and fueling creativity.
Personalized Writing Assistance:
AI-driven writing assistants leverage machine learning algorithms to understand
individual writing patterns and preferences. By analyzing past writing samples and user
interactions, these assistants offer personalized suggestions tailored to the writer's unique
style and objectives. This personalized guidance not only improves writing efficiency but
also fosters continuous skill development.
Language Translation and Localization:
In an increasingly interconnected world, effective communication across languages
is important. AI-powered translation tools utilize advanced natural language processing
(NLP) techniques to accurately translate text between languages. Moreover, these tools
adapt content to local dialects and cultural nuances, ensuring seamless communication
across diverse audiences.
Improving Accessibility and Inclusivity:
AI-driven accessibility features, such as text-to-speech and speech-to-text
technology, promote inclusivity by enabling individuals with disabilities to engage in written
communication more effectively. These tools break down barriers to communication,
allowing everyone to participate in the exchange of ideas regardless of their physical or
cognitive abilities.
Ethical Considerations:
While AI offers numerous benefits in enhancing writing skills, it also raises ethical
considerations regarding authenticity and intellectual property. It is essential to use AI tools
responsibly, acknowledging their limitations and ensuring that the final output reflects the
writer's voice and intent. Additionally, transparency in disclosing AI-generated content is
crucial to maintaining trust and credibility in the writing community.
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Artificial Intelligence can play a crucial role in personalizing learning, enabling
content, pace and teaching style to be tailored to individual students’ needs and
preferences. Through AI systems, personalized learning programs can be created that
foster the development of unique human skills by focusing on each student's specific
strengths and interests. AI-based technologies can also facilitate communication and
collaboration between students and between students and teachers. These tools can
promote the development of unique human skills, such as communication, negotiation or
teamwork skills.
AI can be used to give students access to innovative resources and tools, such as
design software or creative virtual assistants. These technologies can stimulate creativity
and critical thinking, giving students opportunities to explore new ideas, develop their
imaginations, and find innovative solutions to complex problems. By personalizing learning,
continuous and formative assessment, fostering collaboration and communication,
encouraging creativity and critical thinking, and developing complex problem-solving skills,
AI can help create a new educational environment that holistically develops the skills
essential for success in a world of continuous digitization.
Encouraging critical thinking and innovation: AI brings with it opportunities and
challenges that require critical and innovative thinking. It is essential that education
encourages pupils and students to develop these skills through teaching and assessment
methods. By stimulating critical and innovative thinking, individuals capable of adapting to
change and generating innovative solutions in the context of new occupations can be
formed.
Flexibility and continuous learning: Career transformations don't stop with a degree
or qualification. In the age of AI, continuous learning becomes essential to stay current and
competitive in the job market. Education must promote the idea of lifelong learning and
provide opportunities for professional development and retraining for workers in various
fields.
Methodology
The methodology of Artificial Intelligence (AI) for language learners involves
leveraging AI techniques to enhance language acquisition, comprehension, and proficiency.
Language Proficiency Assessment: AI-based language assessment tools can
evaluate learners' language proficiency levels across different skills (e.g., grammar,
vocabulary, fluency) through automated tests, quizzes, and exercises. These tools provide
instant feedback and progress tracking, enabling learners to identify areas for improvement
and track their learning journey.
Feedback and Error Correction: AI systems can provide instant feedback and error
correction to learners, helping them identify and correct language mistakes in real-time. This
feedback loop fosters active learning and reinforces language skills through practice and
repetition.
By integrating these AI-driven methodologies into language learning environments,
educators and learners can leverage the power of technology to create more effective,
personalized, and engaging learning experiences.
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Another Artificial Intelligence is Duolingo
To become fluent in multiple languages, individuals can visit the Duolingo website.
Duolingo is a software application that utilizes a game-like format to teach languages,
involving matching words and completing sentences. This approach effectively teaches
students the necessary syntax, vocabulary, and phrases for constructing sentences.
Regardless of their current level of English proficiency, students can use Duolingo to learn
English while also learning a new subject. Duolingo assesses users' skills and provides
tailored teaching materials accordingly. Users who take the exam on Duolingo can gain
insight into their current level of English proficiency. Before providing any English-language
content, Duolingo determines the user's proficiency level. Apart from grammar instruction,
Duolingo offers opportunities to study vocabulary, nomenclature, and other subjects. The
educational method employed by Duolingo for teaching English is designed to resemble
gaming and promote competition among users. As a result, users can track their progress
in improving their English language skills.
Conclusion
To sum up, I believe that there is a reasonable chance that artificial intelligence can
and will become part of the workplace of the future in many ways .Although humanoid
robots are not currently embraced in classrooms by the education industry, it is evident that
Artificial Intelligence holds potential for revolutionizing education.
Artificial Intelligence is revolutionizing the way we approach writing, offering a myriad
of tools and capabilities to enhance creativity, accuracy, and accessibility. From grammar
correction to content generation, AI empowers writers to overcome challenges and unleash
their full potential. However, it is imperative to use AI tools ethically and responsibly,
preserving the integrity and authenticity of written expression in the digital age. As AI
continues to evolve, its integration into writing processes will undoubtedly shape the future
landscape of communication and literacy.
References
1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10754989
2. Shireen Mostafa Ahmed Abdalkader. Using Artificial Intelligence to improve Writing
Fluency for The Preparatory Stage Students in Distinguished Governmental Language
Schools pp. 40-42, 2022
3. https://www.tandfonline.com/doi/full/10.1080/2331186X.2023.2236469
4. Valerie A. Storey. AI Technology and Academic Writing: Knowing and Mastering
the ‘’Craft Skills’’ pp.1-5, 2023
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DERIVATIVE FEATURES OF ECOTERMS IN ENGLISH AND UZBEK LANGUAGES AND
THEIR TRANSLATION PROBLEMS
Arifjanova Nilufar Mirsidikovna, Salimova Farangiz
Department of Theoretical aspects of English language, Uzbekistan State World Language
University, salimovafarangiz54@gmail.com
Annotation: In recent decades, ecological issues have gained global attention,
leading to the rapid development of specialized terminology in environmental science.
English, as a dominant language in scientific discourse, generates new ecological terms
(ecoterms) through various derivational processes such as affixation, compounding, and
borrowing. In contrast, Uzbek, a language with different morphological structures and
linguistic patterns, faces challenges in developing and adapting ecoterms. This paper
analyzes the derivative features of ecoterms in both languages, explores common
translation difficulties, and discusses potential solutions to improve the accuracy and
comprehensibility of ecological terminology in Uzbek. The study employs a comparative
linguistic approach and highlights the importance of standardizing ecoterm translations to
ensure effective communication in environmental discourse.
Key words: ecoterms, derivation, morphology, translation, affixation, compounding,
borrowing, lexical gaps, linguistic disparities, standardization.
Introduction
The global environmental crisis has necessitated the development of precise
ecological terminology. Many newly coined ecoterms emerge in English and are later
borrowed, translated, or adapted into other languages, including Uzbek. However, due to
structural and lexical differences between English and Uzbek, translation often presents
challenges. Some terms have direct equivalents, while others require descriptive
explanations or borrowing. The primary goal of this research is to examine the derivational
processes of ecoterms in English and Uzbek and identify the key translation problems. The
study seeks to answer the following questions:
1. What are the main derivational processes used in forming ecoterms in English and
Uzbek?
2. What challenges arise when translating English ecoterms into Uzbek?
3. What strategies can be applied to improve the accuracy and comprehensibility of
translated ecoterms?
Understanding these aspects will contribute to more effective ecological
communication and terminology standardization in Uzbek.
Methods
The study employs a comparative linguistic methodology, analyzing the derivational
patterns of ecoterms in English and Uzbek. The research involves the following steps:
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- Morphological Analysis – Examining affixation, compounding, blending, and
borrowing in English and Uzbek ecoterms.
- Comparative Analysis – Identifying similarities and differences in the formation of
ecoterms in both languages.
- Translation Analysis – Reviewing translated ecoterms in Uzbek to assess accuracy,
consistency, and potential issues.
The data sources include environmental dictionaries, academic articles, and online
databases specializing in ecological terminology.
Results
Morphological Features of English and Uzbek Ecoterms. Ecological terminology
(ecoterms) in English and Uzbek is shaped by different word-formation processes due to
linguistic and structural differences. This document explores these processes in detail.
English Ecoterms. English, being an analytical language, heavily relies on derivational
and compounding strategies to form new terms.
1. Affixation:Affixation in English mainly involves prefixes and suffixes.
• Common prefixes: eco- (eco-friendly, eco-conscious), bio- (biodegradable,
biodiversity).
• Common suffixes: -able (sustainable, renewable), -logy (ecology, climatology).
2. Compounding: English often combines two independent words to form meaningful
ecoterms.
Examples: greenhouse gas, carbon footprint, climate change, global warming,
rainwater harvesting.
3. Blending: Blending merges parts of two words to create a new term.
Examples:
• Ecotourism (eco + tourism) – environment-friendly tourism.
• Biophilic (bio + philic) – love for life and nature.
• Smog (smoke + fog) – air pollution.
4. Borrowing: English has incorporated several ecological terms from other
languages.
Examples:
• Safari (Swahili) – an eco-friendly wildlife tour.
• Permaculture (French) – sustainable agricultural practices.
• Biome (Greek) – a large ecological community.
Uzbek Ecoterms.Uzbek, as an agglutinative language, mainly forms new words by
adding suffixes or combining native and borrowed elements.
1. Suffixation: Uzbek ecoterms often use suffixes like -lik, -chi, -kor, -shunos to create
new words.
Examples:
• Ekologik – ecological (formed with -lik suffix).
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• Atrof-muhit himoyachisi – environmental protector (-chi denotes profession or role).
• Barqarorlik – sustainability (-lik forms abstract nouns).
2. Compounding: Similar to English, Uzbek also forms ecoterms by combining words.
Examples:
• Atrof-muhit – environment.
• Yashil energiya – green energy.
• Havo ifloslanishi – air pollution.
3. Calquing (Word-for-Word Translation):Some Uzbek ecoterms are directly
translated from English.
Examples:
• Iqlim o‘zgarishi (climate change).
• Uglerod izi (carbon footprint).
4. Borrowing: Uzbek has borrowed some international ecological terms, often
adapting their pronunciation or spelling.
Examples:
• Ekologiya (from Greek 'oikos' + 'logia').
• Biodiverstitet (from Latin 'bio‘ + 'diversitas').
Table 1. Comparison of English and Uzbek Ecoterms
Feature
English
Uzbek
Affixation
eco-friendly, biodegradable
ekologik, barqarorlik
Compounding
carbon footprint, climate change
atrof-muhit, yashil energiya
Blending
ecotourism, biophilic
Less common in Uzbek
Borrowing
safari, biome, permaculture
ekologiya, biodiverstitet
Calquing
N/A
iqlim o‘zgarishi, uglerod izi
Findings
Key Challenges in Translating Ecoterms: The study identifies key challenges in
translating ecological terms into Uzbek, mainly due to linguistic and cultural differences.
These challenges include the absence of direct equivalents, differences in word order,
variations in meaning, and the complexities of borrowed terms.
One major issue is the lack of direct Uzbek equivalents for certain English ecoterms.
For example, carbon footprint does not have a single-word equivalent in Uzbek and is often
translated descriptively as atmosferaga chiqariladigan uglerod izlari (carbon traces emitted
into the atmosphere). While this translation conveys the meaning, it is lengthy and less
practical for everyday use.
Another challenge arises from differences in word order between the two languages.
In English, modifiers typically come before the head noun, whereas in Uzbek, this order is
reversed. For instance, greenhouse gas is translated as issiqxona gazi, where issiqxona
(greenhouse) comes first, and gazi (gas) follows. Although this aligns with Uzbek grammar
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rules, it may cause structural inconsistencies when translating more complex ecological
terms.
Moreover, some ecological concepts do not align perfectly between English and
Uzbek due to variations in meaning. The term sustainability in English covers economic,
social, and environmental dimensions, whereas its Uzbek equivalent barqarorlik primarily
refers to stability or steadiness. As a result, the full scope of sustainability may not always
be conveyed accurately in Uzbek discussions. Similarly, climate resilience, which refers to a
system’s ability to adapt to climate change, has no precise Uzbek equivalent and may
require lengthy explanations.
Additionally, many English-origin terms are directly borrowed into Uzbek, but their
meanings are not always clear to the general public. Words like biodiversity, carbon neutral,
and eco-friendly are sometimes used in their original form or slightly adapted, yet their
meanings may not be fully understood by Uzbek speakers unfamiliar with ecological
discourse. For example, biodiversity is sometimes borrowed as biodiversitet, but a more
native-friendly term like biologik xilma-xillik (biological diversity) might be clearer.
Given these challenges, the findings suggest that Uzbek needs a more systematic
approach to ecological terminology development. While borrowing is often necessary,
excessive dependence on English-origin words may create comprehension barriers. At the
same time, descriptive translations, though informative, can be too lengthy and impractical
for regular use. A balanced approach that incorporates standardization, public awareness,
and hybrid term formation can help develop a clearer and more effective ecological
vocabulary in Uzbek.
Discussion
The research findings indicate that Uzbek requires a more structured approach to the
development of ecological terminology. While borrowing from other languages is
sometimes necessary, excessive reliance on English-origin words may lead to
comprehension difficulties. On the other hand, descriptive translations can be lengthy and
impractical, making them less effective for widespread use.
To address these challenges, several strategies can be implemented. Establishing
official guidelines for translating ecological terms would help create consistency and clarity
in usage. Raising public awareness about newly introduced terms would facilitate their
adoption and understanding. Forming linguistic committees to oversee the adaptation and
creation of ecological terminology would ensure accuracy and appropriateness.
Additionally, a hybrid approach that blends borrowing with native word formation can
produce terms that are both accessible and linguistically suitable.
By adopting these strategies, Uzbek can develop a well-structured and widely
accepted ecological vocabulary that aligns with global environmental discussions and
enhances communication in the field.
Conclusion
This study explored the derivative features of ecoterms in English and Uzbek,
highlighting differences in morphological structures and translation challenges. While both
languages use affixation and compounding, Uzbek relies more on borrowing and descriptive
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translation. The primary translation difficulties arise from lexical gaps, semantic
differences, and structural variations.
To improve ecological terminology in Uzbek, linguistic authorities should focus on
standardization, adaptation of native equivalents, and increased awareness of new terms.
A well-developed ecological lexicon will enhance environmental communication and
support the global movement toward sustainability.
References
1. Newmark, P. (1988). A Textbook of Translation. Prentice Hall.
2. Rakhimov, A. (2023). Analysis of Using Ecological Terms in Uzbek and English:
Some Translation Problems. CyberLeninka Journal of Linguistics, 9(2), 88-97.
3. Saliyeva, Z., & Norboev, A. (2024). Translation of Ecological Terms from English
into Uzbek: Challenges and Strategies. Journal of New Century Innovations, 64(3), 198-204
4. Uzbek State Terminology Committee. (2020). Ecological Terminology Guidelines.
5. https://newjournal.org/new/article/view/16026
6. https://zienjournals.com/index.php/jpip/article/view/1671
7. https://cyberleninka.ru/article/n/analysis-of-using-ecological-terms-in-uzbekand-english-some-translation-problems
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SUN‘IY INTELEKT VA TARJIMA
Kurbanova Shaxnoza Raxmatullayevna
O‘zbekiston davlat jahon tillari universiteti, Tarjimonlik fakulteti,
shxnzkurbanova@gmail.com
Annontatsiya: Maqola sun’iy intellektning (SI) tarjima sohasidagi transformatsion
rolini, xususan, avtomatik tarjima (MT) tizimlarini o‘rganadi. Globallashuv davrida tillararo
muloqotni soddalashtirish zarurati ortib borayotgan bir paytda, SI texnologiyalari aloqa
to‘siqlarini bartaraf etishda muhim ro‘l o‘ynaydi. Qog‘oz avtomatik tarjimaning rivojlanishini
ko‘rib chiqadi va dastlabki qoidaga asoslangan usullardan zamonaviy neyron mashina
tarjima (NMT) modellarigacha bo‘lgan evolyutsiyani ta’kidlaydi. NMT usullari sezilarli
yutuqlarga erishdi, ba’zilari esa inson tarjimonlarining sifatiga yaqin natijalarni ko‘rsatdi.
Google Translate va Yandex.Translate kabi platformalar SI asosida yaratilgan
texnologiyalardan foydalanib, global auditoriya uchun qulay tarjima xizmatlarini taklif qiladi.
Ushbu yutuqlarga qaramay, mashinaviy tarjimaning cheklovlari qolmoqda.
Kontekstni tushunish, madaniy xususiyatlarni hisobga olish va notiqning niyatini aniqlash
bilan bog‘liq muammolar muhokama qilinadi. Bundan tashqari, cheklangan resurslarga ega
tillar uchun mashinaviy tarjima sifatini yaxshilash zarurligi ta’kidlanadi.Kelajakka nazar
tashlaydigan maqolada avtomatik tarjimani rivojlantirishda SI ning ortib borayotgan roli,
katta hajmdagi ma’lumotlarni qayta ishlash, o‘z-o‘zidan o‘rganish va moslashish kabi
sohalarni o‘rganiladi. Gibrid tarjima tizimlarining ehtimoliy qabul qilinishi ham, inson va
avtomatik tarjimachilar o‘rtasida hamkorlik ta'minlanadi. SI ning avtomatik tarjimada inqilob
qilishi va ushbu jarayon davom etayotgani yakunlanadi. Avtomatik tarjima tizimlarining
kelajakdagi yaxshilanishlari butun dunyo bo‘ylab muloqotni soddalashtiradi, madaniy o‘zaro
tushunishni yaxshilaydi va jamiyat taraqqiyotiga hissa qo‘shadi.
Kalit so‘zlar: Sun’iy intellekt, mashina tarjimasi, neyron tarjima, til texnologiyalari,
globallashuv, madaniyatlararo aloqa, resurslari kam tillar, gibrid tarjima
Kirish
Tarjima turli tillar va madaniyatlar o‘rtasidagi tafovutni bartaraf etishda muhim ro‘l
o‘ynaydi. An’anaga ko‘ra, aniq va batafsil tarjimalarni olish uchun mutaxassis tarjimonlar
afzal ko‘rilgan. Biroq, sun’iy intellekt yordamidagi tarjima, bu tabiiy tilni qayta ishlash (NLPNatural language processing) sohasining rivojlanayotgan yo‘nalishi bo‘lib, til to‘siqlarini
bartaraf etish va global aloqani rivojlantirishga da’vo qilmoqda.
Avtomatik til tarjimasining yangi dunyosida savol tug‘iladi: tarjimon xizmatlari afzalmi
yoki sun’iy intellektmi?
Ushbu savolga javob berish uchun keling, ushbu ikkita tarjima usulini chuqurroq
o‘rganib, ularning har biridan foydalanishda duch kelishingiz mumkin bo‘lgan afzalliklari va
muammolarini ko‘rib chiqamiz.
Inson tarjimasi
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Inson tarjimasi malakali mutaxassislar tomonidan amalga oshiriladigan matnni bir
tildan boshqasiga tarjima qilish jarayonini o‘z ichiga oladi.
Afzalliklari
Malakali tarjimonlar asl va tarjima qilingan tillarni, shu jumladan ularning madaniy
xususiyatlari va kontekstual nozikliklarini chuqur tushunishadi, bu tarjimonga maqsadli
auditoriyaga xabarning so‘zma-so‘z, hissiy va madaniy kontekstini etkazishda yordam
beradi. Misol uchun, so‘z o‘yiniga asoslangan marketing shiori bilan tashqi bozorga kirishni
xohlaydigan biznes egasini tasavvur qiling. Malakali tarjimon shiorni moslashtirish, uning
ta’sirini saqlab qolish va mahalliy tomoshabinlar bilan rezonanslashish uchun zarur bo‘lgan
madaniy bilimlarga ega bo‘lishi kerak.
Mashhur misol - Coca-Cola kompaniyasining "Taste" kompaniyasi bo‘lib, u turli
bozorlarda o‘z ta’sirini saqlab qolish uchun ehtiyotkorlik bilan mahalliylashtirishni talab qildi.
Mutaxassis tarjimonlar, shuningdek, huquqiy hujjatlar yoki texnik qo‘llanmalar kabi
murakkab matnlarni qayta ishlash uchun kontekstli mulohazalardan foydalanishlari
mumkin. Ular kengroq kontekstni hisobga olgan holda noaniq yoki idiomatik iboralarni talqin
qilishlari mumkin, bu esa aniqroq va ishonchli tarjimaga olib keladi. Bu, ayniqsa, aniqlik
muhim bo‘lgan murakkab shartnomalar, patent arizalari yoki me’yoriy hujjatlar bilan
shug‘ullanadigan korxonalar uchun juda muhimdir.
Qiyinchiliklar
Tarjimonlar, barcha odamlar singari, xatolarga yo‘l qo‘yishlari mumkin, ayniqsa qattiq
muddatlar yoki katta hajmdagi ishlar bilan shug‘ullanganda. Hatto yuqori malakali
mutaxassislar ham ba’zida ba’zi iboralarni e’tiborsiz qoldirishi yoki noto‘g‘ri talqin qilishi
mumkin, bu esa noaniqliklarga olib keladi. Ushbu xatolarga yo‘l qo‘ymaslik uchun tarjima
jarayoniga tahrirlash bosqichini kiritish muhimdir. Muharrir hujjat davomida tildan
foydalanish, formatlash va uslubda izchillikni ta’minlash uchun yozma materiallarni xatolar,
ravshanlik, izchillik va umumiy sifat uchun tekshiradi. Yana bir potentsial cheklov-bu xarajat.
Inson tarjimasi xizmatlari odatda sun’iy intellektni tarjima qilishdan ko‘ra qimmatroq,
shuning uchun byudjetga ega bo‘lgan kichik biznes uchun ba’zan professional tarjimonni
yollash qiyin bo‘lishi mumkin.
Sun’iy intellekt yordamida tarjima
Sun’iy intellekt yordamida tarjima, shuningdek, mashina tarjimasi sifatida ham
tanilgan, matnni bir tildan ikkinchisiga avtomatik tarjima qilish uchun algoritmlar va
hisoblash modellariga asoslangan.
Afzalliklari
Bir necha soniya ichida katta hajmdagi ma’lumotlarni qayta ishlash qobiliyatiga ega
bo‘lgan sun'iy intellekt tarjima platformalari Real vaqt rejimida tillar o‘rtasidagi o‘zaro ta’sirni
ta’minlab, deyarli bir zumda tarjimalarni amalga oshirishi mumkin. Ijtimoiy media
platformalarida foydalanuvchi tomonidan yaratilgan kontentni tarjima qilish kabi tezlik va
miqyos muhim bo‘lgan hollarda, sun’iy intellektga asoslangan platformalar insonning
minimal aralashuvi bilan katta hajmdagi matnlarni samarali qayta ishlashi mumkin. Bundan
tashqari, dastlabki ishlab chiqish va o‘qitish xarajatlaridan so‘ng, sun’iy intellektni tarjima
qilish vositalaridan doimiy foydalanish yanada qulayroq bo‘ladi. Ushbu mavjudlik
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byudjetdagi jismoniy shaxslar, kichik biznes va tashkilotlarga til to‘siqlarini engib o‘tish,
buzilishdan qo‘rqmasdan imkoniyat yaratishi mumkin.
Qiyinchiliklar
Sun’iy intellekt platformalari kontekstni olish va asl matnning to‘liq ma’nosini
etkazadigan tarjimalarni yaratishda qiyinchiliklarga duch kelishi mumkin. Til murakkab va
idiomalar va metaforalar, noaniq yoki grammatik jihatdan noto‘g‘ri jumlalar va boshqa
kontekstga bog‘liq so‘zlarni tanlash kabi madaniy jihatdan o‘ziga xos iboralar sun’iy intellekt
algoritmlari uchun qiyin bo‘lishi mumkin. Ba’zi hollarda, masalan, shartnomalar yoki huquqiy
hujjatlar, tarjimada faqat sun’iy intellektdan foydalanish xatolar va huquqiy asoratlarga olib
kelishi mumkin. Madaniy sezgirlik-bu sun'iy intellekt orqali tarjima qilish etarli bo‘lmasligi
mumkin bo‘lgan yana bir sohadir. Tarjimalar nafaqat so‘zlarning so‘zma-so‘z ma’osini, balki
ular bilan bog‘liq madaniy oqibatlar va ijtimoiy ma'nolarni ham o‘z ichiga oladi. Sun’iy
intellekt ko‘pincha madaniy nozikliklarni tan olish qobiliyatiga ega emas, bu esa sezgir
bo‘lmagan yoki qarama-qarshi talqinlarni yaratish xavfini oshiradi.
Ordorik ta’kidlaydiki, malakali tarjimonlar ham dastlabki, ham tarjima qilinayotgan
tillarni, jumladan, ularning madaniy xususiyatlari va kontekstual nozikliklarini chuqur
tushunadilar, bu esatarjimonga xabarning so‘zma-so‘z, emotsional va madaniy mazmunini
maqsadli auditoriyaga yetkazilishini ta’minlashga yordam beradi. Misol uchun, so‘z o‘yiniga
asoslangan marketing shiori bilan xorijiy bozorga kirmoqchi bo‘lgan tadbirkorni tasavvur
qiling. Malakali tarjimon shiorni moslashtirish uchun zarur bo‘lgan madaniy bilimga ega
bo‘lishi kerak, shu bilan birga uning mo‘ljallangan ta’sirini saqlab qolish va mahalliy
auditoriya bilan rezonanslashtirish kerak [5].
Tarjima muammolari tufayli muvaffaqiyatsiz marketing kompaniyasining bir misoli
2017-yilda sodir bo‘lgan. Tesco kompaniyasi oziq-ovqatga nisbatan murosasizlik bilan
og‘rigan odamlarga mo‘ljallangan “Free From” nomli bir qator mahsulotlarni ishlab chiqardi.
Biroq, ivritga (ibroniy tiliga) tarjima qilishda xatolik yuzaga keldi, chunki “Free From” “...siz”
emas, balki “...dan bepul” (Free from charges)deb tushunilgan. Ba’zi iste’molchilar buni
tovarlarni bepul olishga chaqiruv sifatida talqin qilishdi, bu esa tushunmovchilik va
noroziliklarga olib keldi. Shuningdek, sun’iy intellekt tarjima vositalari kinoya, istehzo va
hazilni tasvirlashda qiynalishi mumkin. Bu noto‘g‘ri va noaniq talqinga olib keladi. Ammo,
taraqqiyotning boshqa ijobiy tomonlarini e’tiborsiz qoldirib bo‘lmaydi. AI vositalari katta
hajmdagi matnlarni nihoyatda tez va samarali tarzda tarjima qilishi mumkin. Neyran
Machine Translation (NMT) – bu sun’iy intellektning yangi davri boshlanishini ko‘rsatadigan
yangi texnologiya. U endi tilshunoslar belgilagan qoidalar asosida ishlamaydi, endi o‘z
qoidalarini, hatto o‘z tilini ham yaratadi. Neyron mashina tarjimasi 2016-yilda paydo bo‘lgan.
Bu bugungi kunda mavjud bo‘lgan eng muvaffaqiyatli tarjima dasturidir. o‘zidan oldingi
statistik mashina tarjimasi (SMT) bilan solishtirganda xatolikni 60%ga kamaytirishga
qo‘shimcha ravishda, NMT undan sezilarli darajada tezroqdir. Miya turli ma’lumotlarni
shifrlagani kabi, bu sun’iy neyron tarmoq ham olgan ma’lumotlariga qaraydi va oldingi so‘z
asosida keyingi so‘zni hosil qiladi. Agar jumlalar inson tomonidan tarjima qilingan bo‘lsa,
munosabatlar sun’iy intellekt tarjimalariga qaraganda ancha murakkabroq bo‘ladi, chunki
odamlar kontekstni yaxshiroq tushunishadi.Mashina tarjimasi so‘nggi yillarda katta
yutuqlarga erishgan bo‘lsa-da, haligacha adabiy darajaga erisha olmadi.
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Genri Jeyms matnni asl tilda tushunish muhimligini ta’kidlab, ideal adabiy tarjimon
“undan hech narsa qochib qutulmaydigan odam” bo‘lishi kerakligini ta’kidlagan edi. Eng
katta muammo tarjima qilinadigan matn uchunto‘g‘ri uslubni topishdan iboratdir.
Konnektikut universitetining badiiy tarjima dasturi direktori Piter Konstantin adabiyotni
muvaffaqiyatli tarjima qilish uchun mashinalar ham mos uslubni topishi kerakligini
ta’kidlaydi. So‘zlarning o‘ziga xos noaniqligi va adabiy tilning moslashuvchanligini hisobga
olsak, mashina hali ham insoniy rahbarlikka muhtoj ekanligini ko‘ramiz. NMT tirik
tarjimonlarni almashtira olmaydi, lekin u adabiyotni tarjima qilishda foydali vositaga
aylanishi mumkin.
Mashina va inson tarjimalari o‘rtasidagi o‘zaro ta’sir muhim ahamiyatga ega. Mashina
tarjimasi muammolarini tushunadigan professional tarjimonlar mashina tarjimasining
dastlabki versiyasini tahrirlashlari mumkin. Oddiy keying ishlov berish kichik imlo xatolarini
tuzatishiva grammatikani yaxshilashi mumkin, chuqur tahrirlash esa jumla tuzilishi va nutq
uslubi kabi jiddiyroq muammolarni hal qilishi mumkin. To‘g‘ri tarjima uslubini topish uchun
badiiy tarjimalar qayta ishlashni talab qiladi. Bundan tashqari, mashina tarjimasini
boshlang‘ich nuqtasi sifatida qo‘llagan tarjimonlarning mehnat unumdorligi 36 foizga
oshgani aniqlandi. Ushbu usul yordamida ular bir soat ichida yana 182 ta so‘z hosil qilishdi.
Xulosa
Xulosa qilib aytganda, sun’iy intellekt (SI) tarjima sohasida inqilobiy o‘zgarishlar
yasadi. Biroq, garchi SI asosidagi mashina tarjimasi tezkor va qulay bo‘lsa-da, u hali ham
kontekstni tushunish, madaniy so‘zlarni hisobga olish va yuqori aniqlikni ta'minlash kabi
masalalarda inson tarjimonlariga yetib bora olmaydi. Shuning uchun, tarjima sifatiga yuqori
talablar qo‘'yiladigan vaziyatlarda (masalan, yuridik hujjatlar, adabiy asarlar, ilmiy maqolalar)
inson tarjimonlarining xizmatlaridan foydalanish maqsadga muvofiqdir.
SI esa, katta hajmdagi matnlarni tezda tarjima qilish yoki oddiy muloqot uchun
qo‘llanilishi mumkin. Kelajakda gibrid tarjima tizimlari (inson va mashina tarjimonlarining
hamkorligi) eng optimal yechim bo‘lishi mumkin.
Adabiyotlar
1. Кириченко И.А., Сигачева Н.А. Цифровизация перевода с английского на
русский язык: анализ и сравнение качества машинного сервиса. // Казанский
вестник молодых ученых. 2020. Том 4. No3.-С.27-37.
2. Л. Лусин. Влияние искусственного интеллекта на работу переводчика в
современном обществе. // Язык в сфере профессиональной коммуникации: сборник
материалов международной научно-практической конференции преподавателей,
аспирантов, магистрантов и студентов (Екатеринбург, 20 апреля 2023 г.). Екатеринбург: ООО «Издательский Дом «Ажур», 2023. -С. 451-457.URL:
https://elar.urfu.ru/handle/10995/ 122651
3. Ордорик Сальвадор. Сравнение и противопоставление переводов
искусственного интеллекта и человека. Дата публикации: 19 июня 2023 года.
Перевод Рзаевой М.И. // Фундаментальная и прикладная лингвистика.
http://english.volsu.ru/2023/http-comparing-and-contrasting-ai-and-human-translation
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4. ҚодировУ.Д., Қаршиев Ж.М. Таълим жараёнида сунъий интеллектдан
фойдаланиш-нинг ўзига хос жиҳатлари // Замонавий таълим. 2021. No4 (101). -Б.3-8.
5. Constantine, P. 2019.Google Translate Gets Voltaire: Literary Translation and the
Age of Artificial Intelligence. // Contemporary French and Francophone Studies.23(4), pp.
471-479.
6. J. Abduganiyeva, O‘zbekiston davlat jahon tillari universiteti dotsenti, pedagogika
fanlari bo‘yicha falsafa doktori (PhD), - 2024-07-26, Tamaddun nuri jurnali.
http://jurnal.tamaddunnuri.uz/index.php/tnj/article/download/354/207/402
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EXPLORING THE HUMOR IN MARK TWAIN'S WORKS
Hasanova Sitora
Karshi State University; sitorahasanova365@gmail.com
Abstract: This article examines humor in the writings of Mark Twain, emphasizing its
function as a literary device and as a form of social commentary. Twain’s humor is explored
in terms of his use of satire, irony, parody, wit, and exaggeration. By examining The
Adventures of Huckleberry Finn, The Adventures of Tom Sawyer, and Roughing It, this study
sensitizes the reader towards how Twain uses these forms of comedic sarcasm to respond
to social problems; racism, hypocrisy, and human folly, among many other issues. These
discoveries indicate that Twain’s humor serves not only as entertainment but also as social
critique and intellectual incitement.
Keywords: Mark Twain; humor; satire; irony; parody; wit; social critique
Introduction
Mark Twain (Samuel Langhorne Clemens) is almost universally regarded as the
father of American literature, a title he earned via his innovative prose, unforgettable
characters, and unflinching commitment to capturing the American experience. And while
he is well known for his humor, Twain didn’t just use it; he weaponized it. He entertained
readers even as he dissected and addressed pressing societal issues. His plays were not
just laugh fests, but a wonderful mix of belly-aching humor with deep commentary on
humanity and society that is an alchemy that is every bit as relevant today. The brilliance of
Twain is his ability to make his reader laugh while asking them to consider the world which
surrounds them. He wasn’t simply cracking jokes; he stepped into a mirror that appeared
before society, and everything that was beautiful and ugly that was reflected back became
fodder for his punch lines. He upended the status quo, mocked the powerful and gave voice
to the voiceless. His humor wasn’t an object itself, but a tool with which to encourage critical
thinking and foster social change. “As criticism Harold Bloom says, ‘Twain's humor is… a
mode of perception, a way of seeing the world that is both hilarious and deeply unsettling.’
Through these texts, this article seeks to show that Twain’s humor is not only a literary
device but also an effective vehicle for social critique, one that both entertains and educates.
Twain’s wit is a suspicion of authority, the practices and dogmas of religion and society, a
part and parcel of 19th-century America, and yet a brilliant class by itself, still somehow the
armor of choice for people all over the world.
Materials and methods
This study utilizes qualitative analysis by examining selected literary works by Mark
Twain. The primary sources include:
The adventures of huckleberry finn: A satirical critique of Southern society and its
moral contradictions. It scrutinizes the biting use of satire in the novel about slavery, racism,
and hypocrisy masked by a "civilized" society. This analysis is focused on the way in which
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Twain uses characters such as Huck, Jim, and the Grangerfords to reveal the fundamental
flaws of the antebellum South. First-person narrative and vernacular language are likewise
examined for their contribution to the novel's humor and social awareness.
The adventures of tom sawyer: A light-hearted presentation of adventures child's life
that satirizes, to a small extent, societal expectations. Although seeming less grave in tone
than Huckleberry Finn, the novel offers astute social commentary on the limitations of
societal expectations placed on children. The study discusses the manner in which Twain
uses Tom's romantic fantasy and adventures to satirize pedagogical practice and strict
social convention of the time. Special emphasis is given to instances of parody, such as
Tom's exaggerated games and sense of adventure and the portrayal of the adult figures in
the novel and their hypocrisies.
Roughing it: A semi-autobiographical novel infused with side-splitting anecdotes
about American West life. The novel is a privileged vantage point for exploring Twain's
humor because it draws heavily on his own experience. The analysis identifies moments of
exaggeration, irony, and wit used in the description of the brutal conditions and absurd
events of frontier life. The representation of different characters, ranging from miners to
scammers, is also analyzed for their use in humor and their alignment with the social
relationships of the American West.
The analysis is aimed at tracing instances of:
Satire: Delegitimizing society's norms or institutions using humor, irony, and
hyperbole. The study traces how Twain employs satire to critique particular elements of
American society, like political corruption, religious hypocrisy, and social pretensions.
Irony: Recognizing inconsistencies between appearance and reality to emphasize
contradictions and absurdities. Both dramatic and situational irony are argued to serve as
indicators of Twain's skill in creating multi-levelled narratives.
Parody: Mocking literary conventions or styles by imitation and exaggeration for
humorous effect. Those instances where Twain parodies traditional literary devices or topoi
are analyzed to illustrate his criticism of literary and cultural conventions.
Wit: Sarcasm, witty observations, and sharp repartee used to provoke laughter and
thought. The study examines the way Twain uses wit not only for entertainment purposes
but also to convey deeper meanings and social satire.
Exaggeration: Amplifying absurdities and hyperbolizing events for the purposes of
humor. Hyperbole and burlesque are examined to observe how Twain uses them to create
comic imagery and increase the absurdity of situations.
In addition, historical and cultural settings are considered in order to understand how
Twain's humor represents the issues of his time. This encompasses an examination of
social, political, and economic conditions that influenced Twain's work, such as the history
of slavery, the rise of industrialization, and the building of the American West. By putting
Twain's humor in its place within history and culture, the study aims to provide a more
descriptive understanding of its applicability and impact.
Results
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Satire as Social Critique: In Huckleberry Finn, Twain satirizes the moral hypocrisy
of Southern society through its acceptance of slavery amidst Christian values. Huck's
internal conflict about helping Jim escape from slavery serves to strengthen this satire.
The novel does not merely present slavery as an institution but examines the psychological
and moral complexities of individuals who live in a society that normalizes it. As Twain
himself pointed out, "the secret source of humor is not joy but sorrow." In Huckleberry Finn,
that hidden sadness is powerfully at work beneath the humorous surface, lending the
work's social commentary depth.
Expanding on this, Twain's satire is not confined to slavery alone but addresses
more general issues of hypocrisy and social conformity. The Grangerfords, with their
feuding and melodramatic sense of honor that parodies the absurdity of aristocratic
pretensions, are a good example of this. The Duke and the King, those two rogues who
take advantage of the gullibility of the masses, represent the prevalent opportunism and
moral decadence in society.
Irony in Narrative Technique: In Roughing It, Twain uses irony to depict the
absurdity of frontier life. For example, his hyperbolic accounts of mining accidents show
the gap between the mythic West and its realities. The irony is not merely a means of
humor; it is used to demythologize the American West as a region of limitless possibility
and effortless wealth. The novel unfolds the stark realities, the sense of disillusionment,
and the sometimes humorous failures that marked the lives of many who pursued their
fortunes in the Western territories. Situational irony is rampant throughout Twain's work,
as he finds himself time and again encountering situations in which expectations are
reversed and reality is much more absurd or difficult than was initially perceived. This
encourages a sort of humorous release, enabling the reader to laugh, but also to consider
the complexities of the human condition.
Parody and Literary Mockery: Twain satirizes sentimental fiction through
exaggerating its conventions in characters like Emmeline Grangerford (Huckleberry Finn),
whose melodramatic poetry is employed as comic satire of melodrama. Twain satirizes
sentimentalism's hyperbole and affectation, a popular literary fashion during his time, by
presenting Emmeline's poetry as satirically inflated and emotionally manipulative. As well
as individual characters, Twain also satirizes whole literary genres, such as the adventure
novel or the travelogue. By manipulating the conventions of such genres, he creates a
humorous and knowing narrative that challenges readers' expectations and prompts them
to question the nature of fiction itself. Wit Through Dialogue Twain's employment of
colloquialisms lends a tone of truthfulness and wit to the dialogue between his protagonist
and others. Tom Sawyer's grand plans frequently culminate in clever dialogue that
entertains while still showcasing his creative spirit. Twain's employment of dialect is
beyond style; it is an intentional effort to reflect the voices and everyday lives of common
Americans.
The witty banter shared between characters like Tom and Huck forms an integral
source of comedic effect in Twain's literary works. Their carefree conversations, often
marked by clever wordplay and ironic comments, establish their intellectual prowess as
well as their understanding of their immediate environment. Such use of wit also adds a
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degree of realism to the characters, making them appear more real and endearing to the
audience. Hyperbole for Comedic Effect: Twain employs hyperbole to recount events such
as a stagecoach ride through frontier territory, and by making such descriptions vivid yet
humorous, he keeps readers in amused suspense while describing the rigors of frontier
life. Twain uses hyperbole to exaggerate for humorous effect the ridiculousness of certain
situations. Twain often uses hyperbole along with self-deprecating humor, magnifying his
own shortcomings and misadventures. This creates a level of comic distance, allowing
the audience to be entertained by his experiences while also identifying with his struggles.
Discussion
Humor is a focal point of Twain's literary style, mixing entertainment with sharp
social criticism.
Social Commentary Through Satire: By targeting social norms such as slavery
(Huckleberry Finn) or class pretensions (Tom Sawyer), Twain encourages readers to
question long-standing assumptions.Irony as a literary tool: With his irony, he is capable
of showing human contradictions subtly yet forcefully.
Empathy Through Humor: The characters , such as Jim, overcome prevalent
stereotypes through balanced representations that instill empathy among the audience.
Yet this study is confined to specific texts and mainly involves textual analysis with little
regard to a full analysis of audience reception during Twain's time.
Conclusion
Mark Twain's humor is complex—entertaining yet thought-provoking, lighthearted
yet profound. Borrowing from satire, irony, parody, wit, and exaggeration, he critiques
societal norms fearlessly while plumbing the depths of universal themes such as morality,
human folly, and the very nature of civilization. His comic perspective exposes the
absurdities of human conduct, the contradictions in social institutions, and the frequently
disastrous repercussions of our collective decisions. Twain's impact endures because his
work addresses generations, offering humor and valuable instruction about the
complexities of society and the human condition. His characters, like Huck Finn and Tom
Sawyer, become enduring archetypes, embodying the tensions between individual liberty
and social convention, innocence and experience. In an analysis of his humor, readers
discover not just literary genius but also their own cultural assumptions and biases. Twain
wants individuals to doubt their beliefs, to question authority, and to develop a more
sophisticated view of the world they live in. As long as there is hypocrisy, injustice, and
human fallibility in the world, Twain's humor will continue to ring true, provoke, and inspire.
His work is a call to action for people to engage in critical thinking, to become
compassionate, and to be aware of their place in society. He reaffirms the reality that
humor, regardless of what can be an inherent agent for change.
References
1. Twain, Mark. The Adventures of Huckleberry Finn. Hartford: Chatto & Windus,
1884.
2. Twain, Mark. The Adventures of Tom Sawyer. Hartford: American Publishing
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Company, 1876.
3. Twain, Mark. Roughing it. Hartford: American Publishing Company, 1872.
4. Kaplan, Justin. Mr. Clemens and Mark Twain. New York: Simon & Schuster, 1966.
5. Bloom, Harold (Ed.). Mark Twain’s humor. Philadelphia: Chelsea House
Publishers, 1987.
6. Aristotle. (1997). Poetics. New York: Courier Dover Publications.
7. Cox, J. M. (1988).Humor as vision. New York: MacMillan.
8. Sigmund, F. (1960). Jokes and their relation to the unconscious. New York:
Penguin Books.
9. Twain, M. (1995). The Adventures of Huckleberry Finn. Beijing: Foreign Language
Teaching and Research Press.
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THE ROLE OF AI IN LANGUAGE TRANSLATION: A COMPARATIVE ANALYSIS OF
MACHINE VS. HUMAN TRANSLATION OF UZBEK NOVEL “DAYS GONE BY” (o‘TGAN
KUNLAR)
Tursunboyeva Aziza Shomurod qizi
University of Management and future technologies, Toshkent, O‘zbekiston.
tuazshoo2006@gmail.com
Abstract. This article explores the crucial role of Artificial Intelligence in the field of
translation, focusing on its capabilities and limitations in comparison with traditional human
translation. It gives information about the history of translation, from traditional methods to
the significance of AI tools. Additionally, we will grasp the advantages of AI in translation,
mentioning its efficiency, speed. However, although it offers many accessibilities, this thesis
addresses its challenges and limitations. Plus, we will compare human translation and
machine translation, as a practice from our theories given in this thesis, using some
concepts of the Uzbek novel “Days gone by” (o‘tgan kunlar) by Abdulla Kodiriy.
Keywords: Artificial Intelligence, translation, OpenAI’s GPT, machine translation,
linguistic challenges, idiomatic limitations, statistical machine translation.
Introduction
There is no more exciting topic in our industry than AI’s impact on translation.
Traditionally, translation has been a common task among people, requiring not only
linguistics but also cultural identity and the ability to present meaning with accuracy. The
invent of Artificial Intelligence (AI) has dramatically advanced this landscape, providing new
opportunities to our industry. From machine translation like Google translate to advanced
AI models like OpenAI’s GPT, they offer a faster, more efficient way of translating but with
some limitations.
This thesis explores the significant role of AI in the translation process, showing a
comparative analysis of machine and human translation. We will compare these two
different ways of translation using some excerpts from the Uzbek novel “Days gone by”
(o‘tkan kunlar). It focuses on how they perform translation, specifically in demonstrating the
nuances and poetry literary style of the original form. The introduction of AI in the translation
industry brings both opportunities and limitations. While it offers comforts such as faster
access and efficiency, its limits to understand and the way of using language with the
nuances particularly in literary work – can make a sense of consideration.
Written communication started with signs and symbols. It evolved into characterbased alphabets representing the sounds of localized languages. Over time, people groups
started to spread out and the languages collided. There had to be a way to communicate
with each other. Translators and interpreters were the solution. [1] Translation was
considered as a practice since ancient civilizations, providing the Babylonians, Egyptians,
and Greeks. At the very beginning, the translation efforts were used for the trade, diplomacy
and religious needs. For instance, the translation of the Hebrew Bible into Greek. In terms of
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the eastern world, the concepts about translation started spreading over a thousand years
BC ago and an imperial scholar Jia Gongyan defined a famous quote about translation:
“translation is to replace one written language with another without changing the meaning
for mutual understanding.” Having read this quote, which was 3,000 years old, we can
comprehend that even 30 century ago, there was a need for effective translation, that can
keep the mutual understanding.
During 18th century (Renaissance), there was a renewed interest in the classics.
Scholars of translation industry tried to translate historical works in the integrity of the
original text with the way that audience can understand them easily. During 19th century, the
professionalism of translation began. Friedrich Schleiermacher argued two types of
translation: first one preserves the “foreignness” of the original and second one validates
the adaptation to the text to the culture. As an example of our native language, if we translate
the sentence: “I took the subway to work” To uzbek “Men ishga subway bilan bordim”,
Keeping the word as a foreign “subway”, that is the 1st concept. If we translate this sentence
using 2nd concept, that is what we receive “Men ishga metropolitenga bordim”, Early
thoughts about machine translation started to be considered, but it wasn’t realized using
machines to translate human language until the mid-20th century. The first experiments of
using machine translation began in 1950-1960s. Even though machines focused on
grammatical and syntactical rules to translate texts, these systems were limited in their
capacity to handle the natural language.
During 1990s-2000s, the developments in computer science led to the rise of
statistical machine translation (SMT). SMT used bilingual text data to learn how to translate
words and phrases based on statistical patterns, instead of relying on linguistic rules. In the
early 2000s, with the growth of the internet, services like Google Translate launched, utilizing
SMT techniques. Over time, the AI integrated to this field with so much accessibilities, which
uses deep learning algorithms to process. Modern AI translation systems are better to
consider the context of sentences, to produce them more fluent and accurate. However,
they may still struggle with creativity, (literature), where style, emotion and cultural norms
are required. The evolution of translation industry emerged as given information in this
chapter, over centuries.
In this modern world, the role of AI is significant as it offers more efficient way of
working. One of the dramatic benefits in the field of translation is cost savings. By utilizing
an AI-powered TMS, businesses can achieve significant cost savings in their translation
efforts. Traditional translation methods often require extensive manual work, which can be
time-consuming and costly. However, with an AI-powered TMS automating various
translation tasks, businesses can reduce reliance on human translators for routine
translations. This reduces translation costs and allows organizations to allocate their
resources more effectively. [2] Another significant advantage of AI-powered translation
tools that they can translate vast amount of text in a minute which would take days or weeks
for human translators. This prioritizes particularly in business, government and individuals
which require fast translation of large documents.
Although AI offers multiple benefits, it has several challenges and limitations too.
Linguistic challenges, idiomatic limitations, creativity in language and cultural context can
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