Авторы

  • Aziza Ruzmuratova
    Master student of Asian University of Technologies; Karshi,Kashkadarya;

DOI:

https://doi.org/10.71337/inlibrary.uz.cajar.126872

Ключевые слова:

corpus linguistics digital neologism borrowing slang word formation

Аннотация

This study uses a digital corpus to explore how new words arise and spread in contemporary Uzbek and English online. Data from social media and forums (2020–2025) show that English neologisms often use blending, acronyms, and brand-based verbs, while Uzbek speakers heavily borrow English terms but adapt them with local suffixes. Corpus evidence reveals frequent hybrid verbs and new slang showing how digital talk blends global trends with local grammar. Findings inform lexicography, language policy, and comparative neology.


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A CORPUS-BASED STUDY OF RECENT NEOLOGISMS IN

UZBEK AND ENGLISH DIGITAL DISCOURSE

Ruzmuratova Aziza Anvarovna

Master student of Asian University of Technologies;

Karshi,Kashkadarya;

tel:+998912220305;

e-mail: azizaruzmuratova@gmail.com

https://doi.org/10.5281/zenodo.15721782

ARTICLE INFO

ABSTRACT

Qabul qilindi: 10-Iyun 2025 yil
Ma’qullandi: 15-Iyun 2025 yil

Nashr qilindi: 23-Iyun 2025 yil

This study uses a digital corpus to explore how new
words arise and spread in contemporary Uzbek and
English online. Data from social media and forums
(2020–2025) show that English neologisms often use
blending, acronyms, and brand-based verbs, while Uzbek
speakers heavily borrow English terms but adapt them
with local suffixes. Corpus evidence reveals frequent
hybrid verbs and new slang showing how digital talk
blends global trends with local grammar. Findings
inform lexicography, language policy, and comparative
neology.

KEYWORDS

corpus

linguistics,

digital

neologism, borrowing, slang,
word formation

1. Introduction

In the digital era, new words spread faster than ever, shaping how people talk about

technology, social life, and pop culture (Crystal, 2011). Digital discourse — social media posts,
hashtags, memes — is a prime source of fresh neologisms. Studying these through corpus
methods reveals how real users adopt, adapt, or reject new words (McEnery & Hardie, 2012).

English is widely seen as a major exporter of internet slang, memes, and tech jargon

(Durkin, 2014). Uzbek, historically influenced by Persian, Arabic, and Russian, now absorbs
global English slang but integrates it using its rich agglutinative suffixes (Rakhimov, 2022).
This paper uses a bilingual corpus to show how each language’s speakers create or borrow
words to match rapid digital trends.

2. Theoretical Foundation

2.1 Neology and Innovation
Neology means adding new words to fill gaps or to name new trends (Bauer, 1983).

Digital slang often uses informal creativity: hangry (hungry + angry) or stan (obsessive fan)
show how quick blends and semantic shifts work (Plag, 2003). Slang can stabilize into
dictionaries if repeated enough (Tagliamonte, 2016).

2.2 Borrowing in Contact Settings

Borrowing reflects cultural contact (Thomason & Kaufman, 1988). Smaller languages

tend to borrow for modern tech or pop culture terms rather than coin long native equivalents.
In Uzbek, foreign stems get native suffixes: blogerlik (blogging as activity), trendda (in trend)
— showing structural nativization (Rakhimov, 2022).

2.3 Corpus Linguistics


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Corpus linguistics tests real usage, not just dictionary listings (Sinclair, 1991). Tracking

frequency and collocates helps separate short-lived memes from durable words. This is
crucial for updating lexicography and guiding language policy (McEnery & Hardie, 2012).

3. Data and Method
A bilingual digital corpus was built:
English: 500,000 words from Twitter hashtags, Reddit slang threads, tech blog

comments.

Uzbek: 500,000 words from Telegram posts, Instagram captions, YouTube comments,

local news portals.

New words were flagged if they:
were absent in older dictionaries;
repeated across users;
showed clear novel meaning or form.
Formation types were tagged: blending, acronyms, borrowing + suffix, direct loan.
4. English Neologisms: Results with Rich Examples
Analysis confirms high productivity:
Blends: hangry (hungry + angry), glamping (glamorous camping), bromance (brother +

romance), infotainment (information + entertainment).

Acronyms: FOMO (fear of missing out), YOLO (you only live once), NFT (non-fungible

token), IMO (in my opinion).

Brand verbs: to Google, to Zoom, to Uber.
In social media, such words often cluster with hashtags: #WFHlife (work from home

life), #SquadGoals (group ambition). This shows how new words build community slang
online (Tagliamonte, 2016).

5. Uzbek Neologisms: Results with Broader Range

Uzbek data shows clear patterns:
Direct loans: bloger, kontent, stream, like.
Hybrid verbs: like qilish (‘to like’ a post), bloklash (‘to block’), stream qilish (‘to stream

live’). These follow Uzbek verb endings -lash, -qilmoq.

Suffix-derived forms: blogerlik (‘the act of blogging’), kontentchi (‘content maker’),

trendda bo‘lish (‘to be trending’).

Native equivalents appear in formal contexts but less in casual talk: raqamlashtirish

(‘digitalization’), onlayn ta’lim (‘online education’). These official coinages reflect government
efforts to maintain Uzbek identity (Rakhimov, 2022).

6. Extended Collocation and Usage Findings

Corpus frequency shows like qilish co-occurs with social verbs (post qilish ‘to post’).

Trendda often links with pop culture names: trendda qo‘shiq (‘trending song’), trendda
challenge. Such pairings prove borrowed stems are fully inflected in Uzbek syntax.

English neologisms collocate with meme slang: ghosting + dating, doomscrolling + news.

This shows how digital stress and pop behavior push new terms into everyday talk (Durkin,
2014).

7. Broader Discussion and Implications


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These findings reinforce that digital discourse drives rapid lexical innovation. English

demonstrates high blending creativity, while Uzbek shows adaptive borrowing balanced by
native suffix use.

This mixed strategy helps maintain grammatical integrity and cultural resonance. For

lexicographers, corpus data clarifies which neologisms gain traction. For educators and
policymakers, it highlights why rigid purism may lag behind living language use.

Other contact languages — e.g., Kazakh, Kyrgyz — show similar digital borrowing

patterns. Future studies could compare them to test if Central Asian languages share a ‘hybrid
online style’.

This corpus-driven investigation has provided a detailed account of how contemporary

neologisms develop, circulate, and settle in the online discourse of two typologically different
but contact-connected languages: Uzbek and English. By analyzing authentic usage data
spanning 2020 to 2025, the study confirms that digital environments are key drivers of
accelerated lexical innovation, enabling speakers to rapidly coin, borrow, hybridize, and
normalize new terms.

The findings demonstrate that English sustains an exceptionally high level of internal

creativity, characterized by prolific blending (e.g., hangry, glamping), brand-based verb
formation (to Google, to Zoom), and widespread acronyms (WFH, FOMO). These forms reflect
English’s global status as a medium for technological and pop cultural discourse. Its minimal
morphological restrictions make it fertile ground for flexible word-play and rapid neologism
stabilization, which then diffuses globally through mass media and internet subcultures
(Crystal, 2011; Tagliamonte, 2016).

In contrast, Uzbek, with its agglutinative structure and rich history of lexical borrowing,

illustrates a distinct pattern. Instead of coining long native synonyms for new technological or
cultural imports, Uzbek digital speakers pragmatically adopt English-origin words for
efficiency and international alignment. However, they adapt these borrowings
morphologically, as in like qilish (‘to like’), bloklash (‘to block’), or blogerlik (‘blogging
activity’). This shows a clear negotiation between global lexical input and the native
grammatical framework — a process that contact linguistics identifies as structural
assimilation (Thomason & Kaufman, 1988; Rakhimov, 2022).

The comparative analysis further reveals that while formal language planning in

Uzbekistan often promotes purist native coinages (like raqamlashtirish for ‘digitalization’),
corpus evidence shows that everyday online speakers overwhelmingly favor short,
internationally recognizable terms. This mismatch highlights a well-known tension in
multilingual language policy: between official purism and actual usage shaped by youth
culture, social media trends, and global pop references.

Methodologically, the study confirms the value of corpus linguistics as an empirical

foundation for understanding neology. Unlike introspective or purely dictionary-based
approaches, corpus methods capture frequency, collocation patterns, and pragmatic contexts,
allowing linguists and lexicographers to distinguish ephemeral memes from neologisms with
genuine staying power (McEnery & Hardie, 2012; Sinclair, 1991).

In practical terms, the results offer recommendations for:
Lexicography: Modern bilingual or monolingual dictionaries must keep pace with fast-

changing digital slang and hybrid forms to remain relevant to young speakers.


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Education: Language educators can integrate current, corpus-verified neologisms into

curricula to better reflect authentic digital communication.

Policy: Language planning bodies in contact-heavy contexts like Uzbekistan may benefit

from balancing prescriptive purity with descriptive realism, supporting local identity while
embracing global communicative efficiency.

Conclusion

Finally, this study encourages future comparative research across other lesser-studied

languages in Central Asia, where similar patterns likely emerge under parallel contact
conditions. Larger, longitudinal corpora could track how online-born neologisms shift into
spoken language, formal writing, or even become institutionalized in national standards.

In sum, this research underscores that in the 21st century, the pulse of lexical change

beats fastest in the digital sphere — and corpus linguistics remains the most reliable method
to hear it clearly.

References:

1.

Bauer, L. (1983). English Word-Formation. Cambridge University Press.

2.

Crystal, D. (2011). Internet Linguistics: A Student Guide. Routledge.

3.

Durkin, P. (2014). Borrowed Words: A History of Loanwords in English. Oxford University

Press.
4.

McEnery, T., & Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice.

Cambridge University Press.
5.

Plag, I. (2003). Word-Formation in English. Cambridge University Press.

6.

Rakhimov, B. (2022). “Digital Borrowing in Modern Uzbek: A Corpus Study.” Central Asian

Language Studies, 11(1), 34–50.
7.

Štekauer, P. (2000). English Word-Formation: A History of Research. Mouton de Gruyter.

8.

Tagliamonte, S. (2016). Teen Talk: The Language of Adolescents. Cambridge University

Press.
9.

Thomason, S. G., & Kaufman, T. (1988). Language Contact, Creolization, and Genetic

Linguistics. University of California Press.

Библиографические ссылки

Bauer, L. (1983). English Word-Formation. Cambridge University Press.

Crystal, D. (2011). Internet Linguistics: A Student Guide. Routledge.

Durkin, P. (2014). Borrowed Words: A History of Loanwords in English. Oxford University Press.

McEnery, T., & Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice. Cambridge University Press.

Plag, I. (2003). Word-Formation in English. Cambridge University Press.

Rakhimov, B. (2022). “Digital Borrowing in Modern Uzbek: A Corpus Study.” Central Asian Language Studies, 11(1), 34–50.

Štekauer, P. (2000). English Word-Formation: A History of Research. Mouton de Gruyter.

Tagliamonte, S. (2016). Teen Talk: The Language of Adolescents. Cambridge University Press.

Thomason, S. G., & Kaufman, T. (1988). Language Contact, Creolization, and Genetic Linguistics. University of California Press.