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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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THE PRODUCTIVITY OF AFFIXES IN MODERN ENGLISH

Authors: Kasimova Xurshidaxon;

THE PRODUCTIVITY OF AFFIXES IN MODERN ENGLISH

Abstract

Affix productivity in Modern English represents a dynamic aspect of morphological development, reflecting both linguistic innovation and functional necessity. Derivational and inflectional affixes contribute significantly to word formation, enabling the language to expand its lexicon efficiently. Among the most productive affixes are -ness, -er, -less, and -ize, which continue to generate new lexical items in contemporary usage. The degree of affix productivity varies based on frequency, semantic transparency, and the openness of lexical categories they attach to. Productive affixes tend to be more flexible and are often used in neologisms and informal contexts. Recent linguistic studies have shown that technological, social, and cultural changes heavily influence affix usage and productivity rates. Furthermore, corpus-based approaches help quantify affix productivity and track morphological trends in real-world data. Understanding affix productivity is essential not only for morphological theory but also for practical applications in lexicography, language teaching, and natural language processing.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green