PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 3, 20250 citationsOpen Access

Neuro-Linguistic Cognitive System for Analyzing Arabic Manuscripts with AI

Neuro-Linguistic Cognitive System for Arabic Manuscript Analysis

View Full Paper
Ask AI
Bookmark
Share

Authors

DYDjaafar Yayouche

Discussion

Loading...

Member takes

Overview

This system for Arabic manuscripts improves analysis accuracy, suggesting novel approaches using cognitive linguistics and knowledge graphs.

Key Points

  • Significantly improves OCR accuracy by 28% and semantic precision by 35%, demonstrating enhanced manuscript analysis capabilities.
  • Employing cognitive linguistics, the framework employs hybrid AI models for processing Arabic manuscripts.
  • The approach integrates neural systems with knowledge graphs to enhance cognitive reconstruction of historical texts.
  • Supports a new paradigm in digital philology, highlighting advancements in manuscript analysis and cognitive modeling.

Cite This Study

Djaafar Yayouche (2025) studied this question.

synapsesocial.com/papers/694025972d562116f28fec82https://doi.org/10.5281/zenodo.17807166
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Neuro-Linguistic Cognitive System for Arabic Manuscript Analysis2025
  2. 2Arabic Manuscript NLP Pipeline: Project Overview, Research Impact, and Future Directions مشروع معالجة المخطوطات العربية باستخدام تقنيات معالجة اللغة الطبيعية: نظرة عامة على المشروع وأثره البحثي والاتجاهات المستقبلية2026
  3. 3A Rasm-Based Perspective on the Qur'an: Paleography, Epigraphy, Philology, Radiocarbon Dating, and the Role of Artificial Intelligence in the Translation of Ancient Texts2026
  4. 4EpigraphiX-AI: Neural Epigraphical OCR, Topological Binarization, Strict Manuscript Authentication, and Multi-Model Intelligence for Degraded Historical Palm-Leaf Manuscripts2026
  5. 5Development of an Intelligent OCR Model for Arabic Handwritten Text via Fine-Tuning of a Pretrained TrOCR Model2026