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CONTEXTUAL VARIATION OF TERMS AND ITS INTERPRETATION
O‘lmasov Sherbek A’zamovich
O‘quv ishlari bo‘yicha dekan muovini,
O‘zDJTU
https://doi.org/10.5281/zenodo.15362702
Annotation:
This article examines how specialized terms shift in meaning
when used in different situational, thematic, and cultural contexts and proposes
methodologies for interpreting these variations in terminological work. Building
on classical terminology theories (Felber, 1984; Cabré, 1999) and the ISO
704:2009 standard, it incorporates the sociocognitive framework (Temmerman,
2000) and recent corpus-based contextonym analysis (San Martín, 2025). It
introduces the notion of semantic potential and its reduction into “premeaning,”
surveys methods for extracting and analyzing contextual variants, and offers a
typology – modulation, perspectivization, and subconceptualization – to
categorize term shifts. Practical guidelines for crafting context-sensitive
definitions conclude the study.
Keywords:
contextual variation; terminology; semantic potential;
premeaning; contextonym analysis; sociocognitive terminology; flexible
definition; corpus methodology
Introduction
In contemporary terminology research, understanding how context shapes
term meaning has become crucial for both theoretical clarity and practical
application. Traditional terminology practice often assumes that a term maps
onto a single, clearly delineated concept defined by necessary and sufficient
characteristics (Felber, 1984). Yet, real-world usage reveals that a term’s
semantic scope dynamically adjusts according to thematic domain, genre, and
communicative situation. This article investigates these contextual variations
and offers methods to interpret them in terminological resources.
Felber’s seminal work conceptualized a term as a fixed label attached to a
rigorously bounded concept characterized by definitional features (Felber,
1984). The ISO 704:2009 standard reinforced such a system-oriented approach,
emphasizing reproducibility and consistency in terminological definitions (ISO,
2009). However, Cabré (1999) critiqued the rigidity of necessary-and-sufficient
feature analysis, highlighting challenges posed by prototype effects and
conceptual fuzziness in specialized domains.
Temmerman (2000) introduced a sociocognitive perspective, viewing
terms not as static labels but as cognitive access points to a rich knowledge
repository. In this view, meaning emerges through interactive use: the same
CURRENT APPROACHES AND NEW RESEARCH IN
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term can evoke different facets of underlying knowledge depending on
communicative intent and contextual constraints. Such an approach
accommodates dynamic meaning shifts and situates terminology within user
cognition and discourse practice (Temmerman, 2000).
A term’s
semantic potential
encompasses all possible conceptual
associations and frames activated by that lexical item outside any particular
usage context. To operationalize this potential in terminography, it is necessary
to distill it into a narrower construct –
premeaning
– which captures those
semantic features most relevant across a class of contexts (San Martín, 2025).
Premeaning serves as an intermediate layer between the broad, hypothetical
semantic potential and the specific, context-bound senses that arise in actual
texts.
For example, in a medical corpus, the term
osteoporosis
frequently co-
occurs with
“bone density,” “mineralization,”
and
“fracture risk,”
whereas in
public health literature it appears alongside
“aging,” “women,”
and
“risk
factors,”
reflecting distinct contextual foci even though both usages draw on the
same underlying clinical concept (San Martín, 2025).
Among several corpus-based techniques,
contextonym analysis
has
proven especially effective for isolating the contextual signatures of a term. This
method involves extracting words occurring within a specified window around
target term tokens – often ±25 tokens – and ranking them by frequency and
relevance (San Martín, 2025). Such contextonyms reveal the thematic frames
that activate particular semantic facets of the term without requiring complex
syntactic parsing.
Complementary approaches include collocation analysis, which identifies
statistically significant word pairs, and knowledge pattern extraction, which
detects lexico-grammatical templates that signal conceptual relations (Sager,
1990). However, collocation and pattern methods typically demand larger, more
deeply annotated corpora. Contextonym analysis strikes a balance between ease
of implementation and depth of insight.
Based on a synthesis of corpus observations and cognitive theory,
contextual variation can be categorized into three main types (San Martín,
2016):
1.
Modulation
: Variations in the prominence of certain semantic features
while the core concept remains unchanged. For instance,
“calcium”
in agronomy
texts emphasizes
“soil amendment”
and
“nutrient uptake,”
whereas in
medical contexts it highlights
“bone density”
and
“homeostasis.”
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2.
Perspectivization
: A shift in conceptual focus according to the
disciplinary viewpoint. In geology,
“calcium”
may foreground
“carbonate rock
formation,”
while in cellular biology it centers on
“ion channels.”
3.
Subconceptualization
: Emergence of specialized subdomains in which a
term acquires partially autonomous meaning. For example,
“network”
in
computer science denotes
“architectures”
and
“protocol stacks,”
distinct from
its meaning in sociology as
“social ties.”
This typology aids terminologists in systematically documenting and
differentiating context-specific senses and prevents conflating diverse usages
under a single, overly broad definition.
Conclusion
Contextual variation of terms is an intrinsic feature of specialized language,
reflecting the interplay between lexical semantics and communicative context.
Moving beyond classical, monolithic definitions to a framework that
incorporates semantic potential, premeaning, and empirically derived
contextonyms enriches terminological practice. The presented typology –
modulation, perspectivization, subconceptualization – offers a clear schema for
categorizing usage shifts. By adopting corpus-driven workflows and flexible
definition formats, terminologists can produce resources that better mirror
actual language use and support more accurate comprehension and translation.
Future research might explore automated clustering of contextonym profiles
using distributional semantics to further streamline the identification of
contextual senses.
References:
1.
Cabré, M. T. (1999). Terminology: Theory, methods and applications. John
Benjamins Publishing Company.
2.
Felber, H. (1984). Terminology manual. UNESCO-Infoterm.
3.
International Organization for Standardization. (2009). ISO 704:2009
Terminology work – Principles and methods. ISO.
4.
San Martín, A. (2016). La representación de la variación contextual
mediante definiciones terminológicas flexibles (Doctoral thesis). University of
Granada.
5.
San Martín, A. (2025). Optimizing contextonym analysis for terminological
definition
writing.
Information,
16(4),
257.
https://doi.org/10.3390/info16040257
6.
Sager, J. C. (1990). A practical course in terminology processing. John
Benjamins Publishing Company.
CURRENT APPROACHES AND NEW RESEARCH IN
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7.
Temmerman, R. (2000). Towards new ways of terminology description:
The sociocognitive approach. John Benjamins Publishing Company.
