OCR and Translation System for Ancient Greek Scripts

Author(s)	Ms. Shravani Balasaheb Taywade, Ms. Ankita Anil Mirgane, Ms. Sanika Ravindra Hole, Mr. Vaibhav Babasaheb Palve, Prof. Anandkumar Girijashanker Rao
Country	India
Abstract	Due to script deterioration, intricate ligatures, uncommon characters, and a lack of language resources, digitising and translating ancient Greek scripts is extremely difficult. Although they present encouraging alternatives, contemporary OCR and neural translation methods are still not optimal for processing old documents. Ten recent works on OCR enhancements, multilingual character recognition, semantic-aware translation, hybrid human-AI translation models, and integrated OCR-to-translation pipelines are examined in this study. Results show that transformer translation models in conjunction with deep learning-based OCR produce the best accuracy; however, domain adaption and error propagation continue to be significant problems. Although much progress has been made, the survey indicates that in order to attain dependable end-to-end performance, specialised OCR models, richer tokenization, and context aware translation frameworks are needed for ancient Greek scripts.
Keywords	Optical Character Recognition, Ancient Greek, Machine Translation, Neural Networks, Image Pre processing, Deep Learning.
Field	Engineering
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-17
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.68742

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research