language:
- si
metrics:
- accuracy
- bleu
tags:
- Romanized Sinhala
- Sinhala
- Transliteration
datasets:
- deshanksuman/Swabhasha_RomanizedSinhala_Dataset
Model Card for Model ID
This Repo is about Romanized Sinhala to Sinhala Transliteration using the Ngram and Rule Base Model.
Model Details
inputStr=input("Enter the input")
//You can call the triGramTranslate Function to get the expected result print(triGramTranslate(inputStr))
Model Description
This model is capable of handling short-hand typing(Adhoc Transliteration).
eg Input: khmda Output : කොහොමද
If you are using this work: Kindly cite : T. G. D. K. Sumanathilaka, R. Weerasinghe and Y. H. P. P. Priyadarshana, "Swa-Bhasha: Romanized Sinhala to Sinhala Reverse Transliteration using a Hybrid Approach," 2023 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2023, pp. 136-141, doi: 10.1109/ICARC57651.2023.10145648. keywords: {Terminology;Social networking (online);Computational modeling;Knowledge based systems;Message services;Data structures;Data models;Romanized Sinhala;Transliteration;Tri-gram;Rule-based;Prediction;Suggestion},
The datasets used can be accessed Through : https://github.com/Sumanathilaka/Swa-Bhasha-Sinhala-Singlish-Dataset
- Developed by: Deshan sumanathilaka
- Model type: Ngram Model
- Language(s) (NLP): Python
- License: IEEE
Model Sources [optional]
Paper [optional]: T. G. D. K. Sumanathilaka, R. Weerasinghe and Y. H. P. P. Priyadarshana, "Swa-Bhasha: Romanized Sinhala to Sinhala Reverse Transliteration using a Hybrid Approach," 2023 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2023, pp. 136-141, doi: 10.1109/ICARC57651.2023.10145648. keywords: {Terminology;Social networking (online);Computational modeling;Knowledge based systems;Message services;Data structures;Data models;Romanized Sinhala;Transliteration;Tri-gram;Rule-based;Prediction;Suggestion},
Demo [optional]: https://youtu.be/w6kdIDzoov4
Uses
Romanized Sinhala to Sinhala Transliteration
How to Get Started with the Model
Download all the files from the repo. You can open Transliterator.py file Call the function triGramTranslate(inputStr) with an input String in Romanized Sinhala.
Model Card Authors [optional]
Deshan Sumanathilaka