| Title: |
Dyslexia Across Languages: Challenges and Advances in Handwriting-Based Detection. |
| Authors: |
Yashica Garg, Computer Science Engineering IGDTUW Delhi, India |
| Publisher Information: |
NERD Publication |
| Publication Year: |
2025 |
| Collection: |
Zenodo |
| Subject Terms: |
Dyslexia Detection; Handwriting Analysis; Deep Learning; Machine Learning; Multilingual Dyslexia Screening; Explainable AI; Neural Networks; Optical Character Recognition (OCR); Dysgraphia; Convolutional Neural Networks (CNNs); Transfer Learning; Feature Extraction; Phoneme-Grapheme Mapping; Natural Language Processing (NLP) |
| Description: |
Dyslexia, a neurodevelopmental disease affecting analyzing and writing competencies, manifestsotherwise throughout languages because of variations in orthographic depth and linguistic shape. Thisevaluate examines latest advancements in dyslexia detection the use of AI-pushed techniques, which includehandwriting analysis, deep getting to know, and gadget learning fashions. with the aid of reading extraordinarylanguages and textual stages (words, letters, and paragraphs), this paper explores common and languageparticular markers of dyslexia. The review synthesizes findings from various assets to provide insights intomove-linguistic dyslexia detection and the role of technology in automatic screening |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| ISSN: |
3048-9350 |
| Relation: |
https://zenodo.org/communities/ijama/; https://zenodo.org/records/16744338; oai:zenodo.org:16744338; https://doi.org/10.5281/zenodo.16744338 |
| DOI: |
10.5281/zenodo.16744338 |
| Availability: |
https://doi.org/10.5281/zenodo.16744338; https://zenodo.org/records/16744338; https://ijama.in/volume-2-issue-4/ |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.765BDEE9 |
| Database: |
BASE |