6 citations · 8 across the 3 of their papers we have counts for
3 papers
Improving the quality of Persian clinical text with a novel spelling correction system
Seyed Mohammad Sadegh Dashti, Seyedeh Fatemeh Dashti
Background: The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety. The Persian langua…
Automatic Real-word Error Correction in Persian Text
Seyed Mohammad Sadegh Dashti, Amid Khatibi Bardsiri, Mehdi Jafari Shahbazzadeh
Automatic spelling correction stands as a pivotal challenge within the ambit of natural language processing (NLP), demanding nuanced solutions. Traditional spelling correction tech…
PERCORE: A Deep Learning-Based Framework for Persian Spelling Correction with Phonetic Analysis
Seyed Mohammad Sadegh Dashti, Amid Khatibi Bardsiri, Mehdi Jafari Shahbazzadeh
This research introduces a state-of-the-art Persian spelling correction system that seamlessly integrates deep learning techniques with phonetic analysis, significantly enhancing t…