Optical Character Recognition (OCR) is a cornerstone of digitization, enabling machines to convert scanned documents and images into editable, searchable text. While OCR technology has matured for widely spoken languages, low-resource languages like Pashto—written in a cursive Perso-Arabic script with…
Online Social Networks (OSNs) have revolutionized communication but also brought challenges like hate speech, cyberbullying, and offensive content. While Natural Language Processing (NLP) helps detect such abuse, most research focuses on high-resource languages like English, leaving low-resource languages like Pashto, spoken…
In the digital age, social media platforms are flooded with offensive content, posing challenges for maintaining a healthy online environment. While significant progress has been made in detecting toxic language in major languages like English, low-resource languages such as Pashto…
Pashto, a low-resource language spoken by millions, presents unique challenges in NLP, particularly in word segmentation. Unlike English, where whitespace reliably marks word boundaries, Pashto uses whitespace inconsistently, leading to frequent spelling errors like space-omission and space-insertion. These issues complicate…
Natural Language Processing (NLP) has revolutionized communication and technology, but many low-resource languages, like Pashto, remain underserved. Pashto, spoken by over 50 million people, lacks essential NLP tools and resources. Addressing this gap, researchers from Shanghai Jiao Tong University have…
