Results 1 to 10 of about 7,902 (195)

Pashto offensive language detection: a benchmark dataset and monolingual Pashto BERT [PDF]

open access: yesPeerJ Computer Science, 2023
Social media platforms have become inundated with offensive language. This issue must be addressed for the growth of online social networks (OSNs) and a healthy online environment.
Ijazul Haq   +3 more
doaj   +5 more sources

Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique [PDF]

open access: yesSensors, 2023
Before the 19th century, all communication and official records relied on handwritten documents, cherished as valuable artefacts by different ethnic groups.
Fazli Khaliq   +2 more
exaly   +4 more sources

TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition

open access: yesIEEE Access, 2023
Pashto is the native language of Afghanistan and one of Pakistan’s most essential and regional languages. The Pashto language has a vast number of native speakers who live in various parts of the world.
Muhammad Shabir   +2 more
exaly   +3 more sources

Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages [PDF]

open access: yesPeerJ Computer Science
Generating poetry using machine and deep learning techniques has been a challenging and exciting topic of research in recent years. It has significance in natural language processing and computational linguistics.
Imran Ullah   +5 more
doaj   +3 more sources

Pashto script and graphics detection in camera captured Pashto document images using deep learning model [PDF]

open access: yesPeerJ Computer Science
Layout analysis is the main component of a typical Document Image Analysis (DIA) system and plays an important role in pre-processing. However, regarding the Pashto language, the document images have not been explored so far. This research, for the first
Khan Bahadar   +7 more
doaj   +3 more sources

PHTI: Pashto Handwritten Text Imagebase for Deep Learning Applications

open access: yesIEEE Access, 2022
Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that converts document images into machine-readable codes. In DIA systems, Optical Character Recognition (OCR) plays a key role in digitizing document images.
Ibrar Hussain   +2 more
exaly   +3 more sources

Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features

open access: yesIEEE Access, 2021
Pashto scripts are cursive in nature and hard to recognize in real-time. Native speakers of the Pashto language are large in numbers and reside in different regions of the world.
Muhammad Shabir   +2 more
exaly   +3 more sources

Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI [PDF]

open access: yesPeerJ Computer Science
This article introduces a recognition system for handwritten text in the Pashto language, representing the first attempt to establish a baseline system using the Pashto Handwritten Text Imagebase (PHTI) dataset.
Ibrar Hussain   +5 more
doaj   +3 more sources

Recognition of Pashto Handwritten Characters Based on Deep Learning

open access: yesSensors, 2020
Handwritten character recognition is increasingly important in a variety of automation fields, for example, authentication of bank signatures, identification of ZIP codes on letter addresses, and forensic evidence.
Muhammad Sadiq Amin
exaly   +3 more sources

Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks

open access: yesMeasurement and Control, 2020
This paper presents an efficient OCR system for the recognition of offline Pashto isolated characters. The lack of an appropriate dataset makes it challenging to match against a reference and perform recognition. This research work addresses this problem
Sulaiman Khan, Hazrat Ali, Shah Nazir
exaly   +2 more sources

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