Urdu AI Dashboard

Monitoring AI enhancements in Urdu

Research Papers

Google Scholar papers focused on Urdu AI, LLMs, and datasets

2025 Urdu NLP

EDU-NER-2025: Named Entity Recognition inUrduEducational Texts using XLM-RoBERTa with X (formerly Twitter)

Authors:

F. Ullah M. Ahmad M. T. Zamir M. Arif…

… [15] developed a robust and customizablenaturallanguageprocessing(NLP) Model forUrdulanguage to support different tasks including topic detection and sentiment analysis. They …

2025 Urdu NLP

Compact Transformer Models for ClassicalUrduPoetry: A Computational Stylistics Approach

Authors:

A. Meghwar M. S. Nasir- Corporum: Journal Of Corpus … 2025

… two examples of classicalUrdupoetry, which …Urdu’s cultural importance and the analyticalpossibilities it presents for computational stylistics, systematicNLP-driven research onUrdu…

2025 Urdu NLP

Breaking Barriers inURDUWSD: The Transfer Learning Enriched MAKS Framework

Authors:

S. Bibi S. Asghar M. Zubair- A. C. M. Transactions On Asian Low … 2025

… A significant contribution of this work is the development of the EnhancedUrdu(EU) Corpus,which serves as a valuable resource forUrduNaturalLanguageProcessing(NLP). Corpus …

2025 Urdu NLP

Fake News Detection inUrdu

Authors:

M. Z. Nazar S. U. Shah M. T. Khan- … Of The 19Th … 2025

… With the recent availability of betterNLPtools forUrdu(Urduhack library) andUrduwordembeddings (gensim Word2Vec), we investigate their utility for the fake news detection task. …

2025 Urdu NLP

Author profiling from RomanizedUrdutext using transfer learning models

Authors:

A. Ali M. S. Khan M. A. Khan S. U. Khan F. Khan- Neural Computing … 2025

… learning models for variousnaturallanguageprocessingtasks, extending their …Urducontent on social media platforms. In recent advancements innaturallanguageprocessing(NLP) …

2025 Urdu NLP

ADVANCING NAMED ENTITY RECOGNITION FORURDU: A COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING APPROACHES

Authors:

M. A. Hassan T. F. Khan M. Malik M. Sabir…

… methods on standardizedUrdudatasets. The absence of scalable, domain-independentNER solutions forUrdulimits advancement in related downstream applications ofNLPlike, …

2025 Urdu NLP

Detecting Human vs AI-Generated Text inUrdu: A Comparative Study of Deep Learning and Transformer Models

Authors:

S. Firdoos M. S. U. Hassan

… This challenge is specifically crucial forUrdu, a low-resource language with limiteddatasets andNLPtools. To deal with this gap, we employed theUrduHuman and AI text (UHAT) …

2025 Urdu NLP

A Gated Fusion Framework for MultimodalUrduNamed Entity Recognition

Authors:

E. Zaidi M. S. Fahad S. Sharma

… Abstract—Named Entity Recognition is an integral part ofNaturalLanguageProcessing.However, there are several challenges associated with low-resource languages likeUrdu, the …

2025 Urdu NLP

Improving RomanUrduTopic Classification through Custom Stemming and an SGD-Optimized Machine Learning Pipeline

Authors:

M. Aqeel I. Qutab K. Iqbal H. Fiaz H. Arooj

… This paper proposes a strong topic-classification framework for RomanUrdu, integrating …Urdusubject classification and thus lays a concrete foundation for further RomanUrduNLP…

2025 Urdu NLP

Multilingual Named Entity Recognition in Arabic andUrduTweets Using Pretrained Transfer Learning Models

Authors:

F. Ullah M. Ahmad G. Sidorov I. Batyrshin E. M. F. Riverón…

… , who are nativeUrduspeakers and PhD students working in theNLPdomain with prior …Arabic speaker from our lab with similarNLPexpertise—who specifically contributed to the …

2025 Urdu NLP

Development of Voting-Based POS Tagger forURDULanguage

Authors:

U. Ahmed A. Raza K. Saleem…

… results in the enhancement of the performance inNLPtasks. Also, the variations of neural… in theUrdulanguage by employing different models, which is essential for improvingNLP…

2025 Urdu NLP

Analyzing and VisualizingUrduNews Articles UsingNLPand Concept Graphs

Authors:

A. Mehmood M. T. Hassan Q. Baig

… , we will lay the literature review section forUrduNLP, describe the methodology in depth, …Thus, in this paper, we endeavored to add to the existing literature in the field ofNLPand …