2023
Urdu NLP
Abstractive text summarization of low-resourced languages using deep learning
Authors:
N. Shafiq I. Hamid M. Asif Q. Nawaz H. Aljuaid…
… This article proposed a deep learning model for theUrdulanguage by using theUrdu1 …It is the largest dataset available for performingNLPexperiments in theUrdulanguage. The …
2023
Urdu NLP
Towards Robust Arabic andUrduOCR Systems: A Systematic Review of Deep Learning Techniques
Authors:
M. G. Mahdi A. Sleem I. M. Elhenawy…
… Additionally, research on regional languages such as Arabic andUrduremains relatively …recognition of Arabic-adapted scripts, specifically focusing on Arabic andUrdulanguages. …
2023
Urdu NLP
RomanUrdusentiment analysis of songs 'reviews
Authors:
M. A. Qureshi M. Asif M. F. Khan A. Kamal…
… the RomanUrdulanguage. This research targets to perform Sentiment Analysis onUrdu(ie …After pre-processing the reviews, RomanUrdureviews are analysed using Naïve Bayes, …
2023
Urdu NLP
A survey on text summarization inUrdulanguage using machine learning techniques
Authors:
P. Himaja G. Anvitha S. F. Ahsan…
… An extractive implementation is a type ofnaturallanguageprocessing(NLP) system thatextract specific information from a text document. It does this by identifying specific keywords or …
2023
Urdu NLP
Multi-Lingual Sentiment Analysis ofUrduand English Tweets Using RNN with Bidirectional LSTM
Authors:
Y. Deole T. Jagadish M. Shabrez
… models, such as mBERT or XLM-R, to optimize alignment and classification tasks, resultingin an innovative solution for handling transliterated text innaturallanguageprocessing(NLP) …
2023
Urdu NLP
Author Profiling from Short RomanizedUrduMessages: A Preliminary Investigation using Transfer Learning Models
Authors:
A. Ali M. S. Khan M. A. Khan
… context of RomanUrdu, shedding light on the potential and challenges in leveraging …naturallanguageprocessingtechniques for effective author profiling.Naturallanguageprocessing…
2023
Urdu NLP
Functional Morphology: Patterns Rules Sets for Morphological Parsing ofUrduRegular Verbs
Authors:
A. Amin H. Javed S. Haroon- Pakistan Languages Humanities … 2023
… forNaturallanguageprocessing(NLP). The results are significant to designUrdudatabaseof regular verbs corpus forUrduNLP. … can be used to developUrdudata base dealing with …
2023
Urdu NLP
Cognitive relationship-based approach forurdusarcasm and sentiment classification
Authors:
M. Y. Khan T. Ahmed M. S. Siddiqui S. Wasi- I. E. E. E. Access 2023
… DNNs have demonstrated remarkable success in variousnaturallanguageprocessingtasks, and we believe they have the potential to enhance the performance of sentiment and …
2023
Urdu NLP
Using data augmentation and bidirectional encoder representations from transformers for improving Punjabi named entity recognition
Authors:
H. Khalid G. Murtaza Q. Abbas- A. C. M. Transactions On Asian Low … 2023
… Firstly, it is already trained onUrdulanguage data. TheUrdulanguage uses the same writing… Secondly, researchers have used it inUrduNLPtasks [26], proving it a good choice for low-…
2023
Urdu NLP
Discovering coherent topics fromUrdutext: A comparative study of statistical models, clustering techniques and word embedding
Authors:
M. Mustafa F. Zeng U. Manzoor…
…Urdufalls behind in terms of sophisticatedNLPtools and resources for TM. The rich morphologyof theUrdu… models, and clustering techniques forUrdudocuments. The aim of this work …
2023
Urdu NLP
Generation ofurdughazals using deep learning
Authors:
S. Fahim I. Siddiqui S. Pervez S. Kumar…
… ofUrdupoetry, specificallyUrdu… ofnaturallanguageprocessingand computational creativity.In this research, we apply advancedNLPtechniques and deep learning to generateUrdu…
2023
Urdu NLP
Comparing prompt-based and standard fine-tuning forUrdutext classification
Authors:
F. Ullah U. Azam A. Faheem F. Kamiran…
… Our work contributes to advancingNLPknowledge and benefits various stakeholders.Overall, this study aligns with established ethical standards and promotes the responsible …