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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A model for identifying and predicting deteriorated text in Manguscripts using Vrutta pattern matching. |
| Authors Name: | KEERTIMALINI A , T. VENKATA PADMAJA , Dr. B CHANDRASEKARAM |
| Unique Id: | IJSDR2304337 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Manuscripts are important cultural artifacts which provide significant insights into the history and culture of ancient India. Manuscripts form an invaluable part of India's documentary heritage. But due to years of time lapse, physical & chemical factors caused naturally or artificially by humans(foreign invaders)led to loss of valuable information. Manuscripts that may have undergone just a little amount of damage, which when identified through the remaining available text, can be used to extract the complete knowledge it contains. This paper presents one such model to predict and retrieve the deteriorated text from the Sanskrit manuscripts using metrical analysis and laghu-guru pattern matching techniques. This paper also extends the scope of prediction of deteriorated texts to metered and unmetered text and deals with the more efficient corpus searching algorithms using Regular expressions. |
| Keywords: | Manuscript, Metrical analysis(Vruttas), Pattern matching, Chandas Shastra, Deterioration, Regular expressions, Sanskrit corpus. |
| Cite Article: | "A model for identifying and predicting deteriorated text in Manguscripts using Vrutta pattern matching.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2172 - 2178, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304337.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2304337 Registration ID:205685 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 2172 - 2178 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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