File size: 2,665 Bytes
8e6b5cb 7f6c6ce 8e6b5cb 7f6c6ce |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 |
---
language:
- si
metrics:
- accuracy
- bleu
tags:
- Romanized Sinhala
- Sinhala
- Transliteration
datasets:
- deshanksuman/Swabhasha_RomanizedSinhala_Dataset
license: mit
---
---
# Model Card for Model ID
This Repo is about Romanized Sinhala to Sinhala Transliteration using the Trie tree.
This is work level transliteration and suggest you all the possible output.
This is best for use in Word Sense Disambiguation with Transliteration.
## Model Details
print(translate("adrya",loaded_t))
Expected Output :
['ආදරය', 'ආදාරය', 'ආදරේය', 'අදාරය', 'අදරය']
### 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:** rie Structure
- **Language(s) (NLP):** Python
- **License:** IEEE
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **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
Suggestion Level
WSD for Transliteration
## How to Get Started with the Model
Download all the files from the repo.
You can open suggestion.ipynb file
Call the function translate with an input String in Romanized Sinhala.
## Model Card Authors [optional]
Deshan Sumanathilaka
## Model Card Contact
deshankoshala@gmail.com |