An Efficient Translation of Tulu to Kannada South Indian Scripts using Optical Character Recognition
| Autor: | I. Manimozhi, Manoj Challa |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Machine translation
Computer science Character (computing) Dravidian languages 020207 software engineering 02 engineering and technology Optical character recognition computer.software_genre language.human_language Readability Linguistics Scripting language 0202 electrical engineering electronic engineering information engineering language 020201 artificial intelligence & image processing Official language Sanskrit computer |
| Zdroj: | 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). |
| DOI: | 10.1109/iccmc51019.2021.9418225 |
| Popis: | Tulu script is not used to write the Tulu language, as it uses the Kannada script for documentation. As Tulu is not an official language of Karnataka, most people are unaware of this language. The Tulu-speaking people are larger in number than speakers of Manipuri and Sanskrit, which have the Eighth Schedule status. To enhance the readability of Tulu documents, there is a need for machine translation of Tulu scripts into Kannada Script. The motivation behind this work is to create software that can proficiently perceive written by a handwritten Tulu character and produces a yield in Kannada character. Tulu Kannada characters include a combination of needs to focus, making them difficult to recognize when written by hand. Besides, interpretation of the south Dravidian language (TULU) is the least investigations in the research field. The south-west of Karnataka state and northern Kerala with some Maharashtra state are speaking around 5 million TULU speakers in India. The programmed acknowledgment of transcribed characters from filtered images assists with changing over characters in a image into the helpful editable and comprehensible structure. This framework is utilized to map TULU to classical Kannada perceives the Tulu characters and reacquaint the precious data store in automatic recognitions for future generations. |
| Databáze: | OpenAIRE |
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