MORPHOLOGICALITY AND CORPUS-BASED TAGGING MODELS IN TURKIC LANGUAGES: A PROJECT FOR THE CREATION OF A CORPUS FOR THE KARAKALPAK LANGUAGE

In the context of the digital transformation of linguistics and the rapid advancement of natural language processing (NLP) technologies, the development of morphological resources for low-resource languages has become a crucial task in applied linguistics. This study explores the possibilities of designing morphological corpora and tagged models for the Karakalpak language—an agglutinative Turkic language that remains unrepresented in digital linguistic repositories.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-07
DOI
https://doi.org/10.5281/zenodo.16757516
Primary Topic
Linguistics and Cultural Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MORPHOLOGICALITY AND CORPUS-BASED TAGGING MODELS IN TURKIC LANGUAGES: A PROJECT FOR THE CREATION OF A CORPUS FOR THE KARAKALPAK LANGUAGE

Zenodo (CERN European Organization for Nuclear Research)
Linguistics and Cultural Studies
article

MORPHOLOGICALITY AND CORPUS-BASED TAGGING MODELS IN TURKIC LANGUAGES: A PROJECT FOR THE CREATION OF A CORPUS FOR THE KARAKALPAK LANGUAGE

article en

Abstract

In the context of the digital transformation of linguistics and the rapid advancement of natural language processing (NLP) technologies, the development of morphological resources for low-resource languages has become a crucial task in applied linguistics. This study explores the possibilities of designing morphological corpora and tagged models for the Karakalpak language—an agglutinative Turkic language that remains unrepresented in digital linguistic repositories.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 49%
Linguistics and Cultural Studies
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.

MORPHOLOGICALITY AND CORPUS-BASED TAGGING MODELS IN TURKIC LANGUAGES: A PROJECT FOR THE CREATION OF A CORPUS FOR THE KARAKALPAK LANGUAGE · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS