Dyslexia Across Languages: Challenges and Advances in Handwriting-Based Detection.
Year: 2025
Type: article
Abstract: 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
Author: Yashica Garg, Computer Science Engineering IGDTUW Delhi, India
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912425679
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