THE DISCREPANCY OF FORM AND CONTENT OF THE VOICE CATEGORY IN ENGLISH AND UZBEK LANGUAGES

This article analyzes the differences in form and meaning of the voice category in two languages. It examines how the voice categories (passive and active) in English and Uzbek are grammatically represented and highlights the inconsistencies between their logical and semantic meanings. Through analytical and comparative linguistic methods, the article reveals unique characteristics of voice in each language and demonstrates the challenges this creates in the teaching process.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-30
DOI
https://doi.org/10.5281/zenodo.14251379
Primary Topic
Text and Document Classification Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE DISCREPANCY OF FORM AND CONTENT OF THE VOICE CATEGORY IN ENGLISH AND UZBEK LANGUAGES

Zenodo (CERN European Organization for Nuclear Research)
Text and Document Classification Technologies
article

THE DISCREPANCY OF FORM AND CONTENT OF THE VOICE CATEGORY IN ENGLISH AND UZBEK LANGUAGES

article en

Abstract

This article analyzes the differences in form and meaning of the voice category in two languages. It examines how the voice categories (passive and active) in English and Uzbek are grammatically represented and highlights the inconsistencies between their logical and semantic meanings. Through analytical and comparative linguistic methods, the article reveals unique characteristics of voice in each language and demonstrates the challenges this creates in the teaching process.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 61%
Text and Document Classification Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

THE DISCREPANCY OF FORM AND CONTENT OF THE VOICE CATEGORY IN ENGLISH AND UZBEK LANGUAGES · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS