2025
AI in Urdu
… والذكاء الاصطناعيّ التوليدي؛ دراسة تحليلية مقارنةUrduChildren's Literature between Human Creativity and GenerativeArtificial Intelligence: A Comparative Analytical …
Authors:
بسمة محمد أحمد محمد نصر…
… untouched byAI. The trajectory of genuine creativity versus mechanical imitation stillconstitutes a complex and continuously evolving concern inUrduliterature. WhileAIcan produce …
2025
AI in Urdu
EXPLORING THEURDULANGUAGE TEACHING USING PHENOMENOLOGICAL LENS: INSIGHTS FROM PEDAGOGICAL SCIENCE
Authors:
S. Razzaq F. Fida T. Urooj
…AI-supported learning tools, such as mobile-basedUrdu-learning applications, is now significant.To supportUrdu…AI-driven feedback systems (Khalil, Iqbal & Akram, 2020). In summary, …
2025
AI in Urdu
Leveraging machine-labeled data and cross-lingual transfer for NER inUrduand sindhi
Authors:
N. Basir D. N. Hakro…
… and foods for advancing NER inUrduand Sindhi. We have … dataset for both Sindhi andUrdu.This approach reduces the amount … labeled datasets in Sindhi andUrdu, which we used as …
2025
AI in Urdu
Urdu/Hindi polarkyaas an expression of uncertainty
Authors:
M. Biezma M. Butt F. Jabeen B. Mumtaz
… questions (AltQs) inUrdu/Hindi are disjunctions of polar … We also argue that an analysisofUrdu/Hindi AltQs as … , we reject the claim that AltQs inUrdu/Hindi are (across the board) …
2025
AI in Urdu
اردو ادب میں سائنس فکشن: معاصر صورتحال، مسائل اور امکانات: Science Fiction inUrduLiterature: Contemporary Scenario, Challenges, and Opportunities
Authors:
M. S. Akhtar S. Hussain R. Basri
… analysis of science fiction withinUrduliterature, charting its … remains a marginalized genreinUrdu. It identifies several critical … Urgent contemporary themes such asartificialintelligence, …
2025
AI in Urdu
EmpoweringUrdusentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT
Authors:
L. Khan A. Qazi H. T. Chang M. Alhajlah…
… Various experiments have been conducted to evaluate the effectiveness of our proposedmodel on twoUrdusentiment analysis datasets named as UCSA-21 and UCSA, and an …
2025
AI in Urdu
الذكاء الاصطناعي وتعلم اللغة الأردية، الفرص والتحدياتArtificial IntelligenceandUrduLanguage Learning: Opportunities and Challenges
Authors:
بحر أمينة جبر الله علي
… ، includingUrdulanguage. While it offers numerous advantages forUrdulanguage learners،it is not without its challenges. This study aims to explore the opportunities thatAIprovides …
2025
AI in Urdu
Intelligent model for target identification fromUrduthreatening tweets in low-resource language using deep learning and fine-tuning of language models
Authors:
G. Musa Raza A. Naseem S. Iqbal…
… inUrdulanguage threatening tweets to close the research gap in the low-resourceUrdu…Recommended articles lists articles that we recommend and is powered by ourAIdriven …
2025
AI in Urdu
Exploring Enhancing Pattern Recognition Techniques forUrduHandwritten Text: A MANUU Dataset Perspective
Authors:
S. M. Ahmed A. Wahid
… This study discusses improving optical character recognition (OCR) for handwrittenUrduscript, focussing on the absence ofUrduNastaliq datasets. The work improves OCR accuracy …
2025
AI in Urdu
QaLLM: An LLM-based NER Dataset Curation, Annotation and Evaluation in HistoricalUrduElegies
Authors:
S. Irfan S. J. Ali- Anthology Of Computers The Humanities 2025
… We defined seven primary entity classes that we aimed to extract as named entities fromtheUrdutext. Section 3.2 formalizes the ontology with definitions, examples, and edge-case …
2025
AI in Urdu
BI-SENT: bilingual aspect-based sentiment analysis of COVID-19 Tweets inUrdulanguage
Authors:
E. Hashmi A. Altaf M. W. Anwar M. H. Jamal U. I. Bajwa- Plos One 2025
… Traditionally, sentiment analysis in theUrdulanguage has focused on sentence-level …sentiment analysis forUrduand RomanUrduusing unsupervised methods. ForUrdu, a syntactic …
2025
AI in Urdu
HLU: Human Vs LLM Generated Text Detection Dataset forUrduat Multiple Granularities
Authors:
I. Ali J. Atuhurra H. Kamigaito…
The rise of large language models (LLMs) generating human-like text has raised concernsabout misuse, especially in low-resource languages likeUrdu. To address this gap, we …