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SEMANTIC CHANGE AND POLYSEMY IN THE ENGLISH LANGUAGE:
MECHANISMS, MOTIVATIONS, AND LEXICAL OUTCOMES
Abdurahim Abduvasitov
English language teacher, Kokand University,
abdu_rahim_87@mail.ru
Abstract:
The evolution of word meaning over time is a central concern in historical and
cognitive linguistics. This article investigates two interrelated phenomena:
semantic change
,
where meanings shift historically, and
polysemy
, where a single word possesses multiple
related meanings simultaneously. Through a theoretical and data-driven approach, the paper
explores how processes such as metaphor, metonymy, broadening, narrowing, and amelioration
drive semantic transformation. The study further differentiates polysemy from homonymy,
analyzes its cognitive mechanisms, and examines its treatment in dictionaries and
computational linguistics. Examples from English, Uzbek, and Russian illustrate how semantic
flexibility reflects cultural, social, and pragmatic forces. The findings reveal that semantic
change and polysemy are not random but patterned, shaped by both human cognition and
communicative needs.
Keywords:
Semantic change, polysemy, lexical meaning, language evolution, metaphor,
homonymy, lexical semantics
Introduction
Language is a dynamic system that evolves alongside the societies and minds that use it. One of
the most visible manifestations of this evolution is the
change in word meaning
, commonly
known as
semantic change
. Simultaneously, many words develop
multiple related senses
, a
phenomenon known as
polysemy
. For example, the English word “head” can refer to a div
part, a leader, the top of something, or a foam on beer—all linked through conceptual
association.
Understanding how meanings shift or expand is vital for linguistics, lexicography, language
teaching, and artificial intelligence. While semantic change occurs diachronically (over time),
polysemy exists synchronically (at a given time), but both reflect the
cognitive and
communicative flexibility of language
.
This article explores:
Definitions and relationships between semantic change and polysemy,
Types and causes of semantic change,
Mechanisms and structures of polysemy,
Challenges in translation, dictionary use, and natural language processing (NLP).
The aim is to demonstrate how these phenomena not only affect word meaning but also mirror
cultural evolution, cognitive strategies, and discourse practices
.
Literature Review
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Semantic change has long been studied within historical linguistics. Bloomfield (1933) and
Ullmann (1962) provided foundational classifications of semantic shifts, including widening,
narrowing, amelioration, and pejoration. More recent cognitive approaches by Traugott and
Dasher (2002) and Geeraerts (2010) have emphasized the role of subjectification and pragmatic
inference in driving change.
Polysemy, a related but distinct concept, has been analyzed within lexical semantics (Lyons,
1977), cognitive linguistics (Lakoff, 1987), and lexicography (Cruse, 1986). Polysemy arises
when a single form acquires
multiple related meanings
, in contrast to homonymy, where
meanings are unrelated. Cruse proposed the idea of sense relations (core and peripheral
meanings) to explain polysemous structures.
From a pragmatic perspective, Ruhl (1989) argued that polysemy reflects speaker intention and
usage context more than dictionary definitions. Corpus linguists (Sinclair, 1991; Kilgarriff,
2003) explored how frequency and collocation influence the emergence of new meanings.
In Uzbek and Russian linguistics, scholars such as Karimov (2005) and Vinogradov (1946)
emphasized the cultural and functional nature of meaning extension. Uzbek words like “yoz”
(summer/write) and Russian “ключ” (key/spring/solution) demonstrate the productivity of
polysemy in agglutinative and inflectional languages.
This study builds on these frameworks to present a unified account of how semantic change and
polysemy function across time and context.
Methodology
The research applies a
qualitative-descriptive methodology
supported by
historical and
comparative analysis
. Key elements include:
Corpus analysis
: Data from English corpora (COCA, BNC), alongside examples from
Uzbek and Russian, were used to examine semantic shifts and polysemous usage.
Lexicographic study
: Entries from the Oxford English Dictionary (OED), Cambridge
Dictionary, and Oxford Learner’s Dictionary were compared to identify diachronic shifts and
polysemous structures.
Theoretical synthesis
: Cognitive and historical linguistic frameworks guided
categorization of semantic change types and polysemy patterns.
Examples were chosen for:
Historical semantic shift (e.g., “girl,” “meat,” “villain”),
Productive polysemous words (e.g., “run,” “light,” “spring”),
Cross-linguistic parallels to show cultural variation and universality.
The analysis aimed to identify both
patterns of change
and
mechanisms of meaning
multiplication
.
Results
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1. Types of Semantic Change
Type
Definition
Example
Broadening Word acquires a more general
meaning
“Holiday” (originally “holy day”) now any
vacation
Narrowing
Word’s meaning becomes more
specific
“Meat” (used to mean any food) now refers to
animal flesh
Amelioration Meaning becomes more positive “Knight” (servant → noble warrior)
Pejoration
Meaning
becomes
more
negative
“Silly” (blessed → foolish)
Semantic
shift
Entire change in meaning
“Villain” (farmhand → bad person)
Metaphor
Abstract meaning via similarity “Grasp” (hold physically → understand)
Metonymy
Change via association
“Crown” for monarchy
2. Mechanisms and Patterns of Polysemy
Word Polysemous Meanings
Mechanism
Head Body part, leader, top, beginning
Metaphor
Run Move fast, manage, flow, publish
Functional extension
Light Illumination, not heavy, pale in color, not serious Adjective/noun overlap
Spring Season, water source, jump
Homonymic origin
Many polysemous words maintain a
core meaning
, from which
extended meanings radiate
metaphorically or functionally. In contrast, homonyms like “bank” (riverbank vs. financial
institution) share form but not meaning.
3. Cross-Linguistic Examples
English Uzbek
Russian
Observation
“Run” yugurmoq,
boshqarmoq
бежать, управлять Multiple verbs used to split meanings
“Light” yorugʻ, engil
свет, лёгкий
Polysemy represented by multiple
lexemes
“Spring” bahor, buloq, sakrash весна,
ключ,
прыжок
No single-word polysemy in translation
Discussion
The findings confirm that
semantic change is both systematic and motivated
, not arbitrary.
Changes often result from:
Cognitive economy
(reusing words in new contexts),
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Cultural evolution
(new values or technologies),
Pragmatic inferences
(intended vs. literal meaning).
Polysemy emerges when speakers creatively extend core meanings to new contexts—often
metaphorically or through metonymy. For instance, “grasp” originally referred to physical
holding, then expanded to mental comprehension due to the conceptual metaphor
“understanding is grasping.”
Lexicographically, dictionaries distinguish polysemy by numbering senses, but often struggle
with borderline cases. In language learning, polysemy presents a
double challenge
: recognizing
relatedness of meaning while avoiding confusion.
In translation, one English polysemous word often corresponds to several different words in
Uzbek or Russian. This creates
asymmetry in equivalence
. For example, the word “light” in
English may require multiple translations depending on the context: yorugʻ (brightness), engil
(not heavy), or yengil (not serious).
In computational linguistics, polysemy complicates word sense disambiguation (WSD),
requiring algorithms to rely on contextual cues. While semantic change challenges NLP
systems trained on static meaning databases, large language models (e.g., GPT) offer improved
context-sensitive interpretation.
Conclusion
Semantic change and polysemy are key to understanding how language evolves and adapts.
They demonstrate that meaning is
not fixed
, but constantly shaped by
use, context, and
culture
.
This article has shown:
The mechanisms behind semantic shift (e.g., metaphor, broadening),
The emergence and structure of polysemous word meanings,
Challenges posed by polysemy in translation, lexicography, and NLP.
Understanding these processes is essential for linguists, educators, translators, and
computational language designers. Future research should explore:
Semantic change in real-time via social media,
Polysemy and metaphor in learner language,
Algorithmic handling of meaning variation.
In a world of rapid technological and cultural transformation, tracking how word meanings shift
helps us trace how
thought and society evolve through language
.
References:
Bloomfield, L. (1933). Language. New York: Holt.
Cruse, D. A. (1986). Lexical Semantics. Cambridge University Press.
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Geeraerts, D. (2010). Theories of Lexical Semantics. Oxford University Press.
Karimov, M. (2005). Semantik o‘zgarishlar va ularning leksik tizimdagi o‘rni. Tashkent: Fan.
Kilgarriff, A. (2003). Corpus-based approaches to lexicography. International Journal of
Lexicography, 16(3), 221–229.
Lakoff, G. (1987). Women, Fire, and Dangerous Things: What Categories Reveal About the
Mind. University of Chicago Press.
Lyons, J. (1977). Semantics. Cambridge University Press.
Ruhl, C. (1989). On Monosemy: A Study in Linguistic Semantics. SUNY Press.
Sinclair, J. (1991). Corpus, Concordance, Collocation. Oxford University Press.
Traugott, E. C., & Dasher, R. B. (2002). Regularity in Semantic Change. Cambridge University
Press.
Ullmann, S. (1962). Semantics: An Introduction to the Science of Meaning. Oxford: Basil
Blackwell.
Vinogradov, V. V. (1946). Lexika i semantika russkogo yazyka. Moscow: Nauka.
