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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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MAIN APPROACHES TO THE STUDY OF MENTAL ACTIVITY VERBS IN LINGUISTICS

Authors: Babaqulova Dilobar;

MAIN APPROACHES TO THE STUDY OF MENTAL ACTIVITY VERBS IN LINGUISTICS

Abstract

Mental activity verbs represent an important lexical-semantic group in linguistics, as they reflect cognitive processes such as thinking, knowing, remembering, understanding, and believing. These verbs play a significant role in expressing intellectual and psychological states of a speaker. The study of mental activity verbs has attracted the attention of linguists from various theoretical perspectives including semantic, cognitive, functional, and psycholinguistic approaches. Within linguistic research, mental verbs are considered as a key component of the lexical system because they reflect how language conceptualizes human thought and knowledge. The semantic nature of these verbs is closely connected with cognitive processes and mental representations that occur in the human mind. Different scholars have analyzed mental verbs from the viewpoint of semantic classification, conceptual modeling, and syntactic behavior. In modern linguistics, mental activity verbs are also studied within the framework of cognitive linguistics where they are interpreted as linguistic manifestations of conceptual structures and mental models. This article analyzes the main theoretical approaches to the study of mental activity verbs in linguistics and highlights their semantic, cognitive, and functional characteristics. The research emphasizes the importance of mental verbs in understanding the interaction between language, thought, and cognition.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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