14 citations · 42 across the 6 of their papers we have counts for
6 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…
Correcting Real-Word Spelling Errors: A New Hybrid Approach
Seyed MohammadSadegh Dashti, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri
Spelling correction is one of the main tasks in the field of Natural Language Processing. Contrary to common spelling errors, real-word errors cannot be detected by conventional sp…
Real-Word Error Correction with Trigrams: Correcting Multiple Errors in a Sentence
Seyed MohammadSadegh Dashti
Spelling correction is a fundamental task in Text Mining. In this study, we assess the real-word error correction model proposed by Mays, Damerau and Mercer and describe several dr…
An Expert System to Diagnose Spinal Disorders
Seyed Mohammad Sadegh Dashti, Seyedeh Fatemeh Dashti
Objective: Until now, traditional invasive approaches have been the only means being leveraged to diagnose spinal disorders. Traditional manual diagnostics require a high workload,…