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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   +6 more
doaj   +4 more sources

Pashto Language Stemming Algorithm

open access: yesAsia-Pacific Journal of Information Technology and Multimedia, 2015
In this paper a stemming algorithm for morphological analysis for less popular or minor language like Pashto language is presented. Pashto, as a less popular language, lacks the resources and tools that can be applied in different applications such as in
Sebghatullah Aslamzai, Saidah Saad
doaj   +2 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   +5 more
doaj   +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

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   +5 more
doaj   +3 more sources

Recognizable units in Pashto language for OCR

open access: yes2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Atomic segmentation of cursive scripts into constituent characters is one of the most challenging problems in pattern recognition. To avoid segmentation in cursive script, concrete shapes are considered as recognizable units. Therefore, the objective of this work is to find out the alternate recognizable units in Pashto cursive script.
Riaz Ahmad 0001   +5 more
exaly   +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

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

A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language

open access: yesIEEE Access
A fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah   +6 more
doaj   +3 more sources

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