deshanksuman commited on
Commit
7f6c6ce
1 Parent(s): 8e6b5cb

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +80 -0
README.md CHANGED
@@ -1,3 +1,83 @@
1
  ---
 
 
 
 
 
 
 
 
 
 
 
2
  license: mit
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - si
4
+ metrics:
5
+ - accuracy
6
+ - bleu
7
+ tags:
8
+ - Romanized Sinhala
9
+ - Sinhala
10
+ - Transliteration
11
+ datasets:
12
+ - deshanksuman/Swabhasha_RomanizedSinhala_Dataset
13
  license: mit
14
  ---
15
+
16
+ ---
17
+ # Model Card for Model ID
18
+
19
+ This Repo is about Romanized Sinhala to Sinhala Transliteration using the Trie tree.
20
+ This is work level transliteration and suggest you all the possible output.
21
+
22
+ This is best for use in Word Sense Disambiguation with Transliteration.
23
+
24
+
25
+ ## Model Details
26
+
27
+ print(translate("adrya",loaded_t))
28
+
29
+ Expected Output :
30
+ ['ආදරය', 'ආදාරය', 'ආදරේය', 'අදාරය', 'අදරය']
31
+
32
+ ### Model Description
33
+
34
+ This model is capable of handling short-hand typing(Adhoc Transliteration).
35
+
36
+ eg
37
+ Input: khmda
38
+ Output : කොහොමද
39
+
40
+
41
+ If you are using this work:
42
+ Kindly cite :
43
+ 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},
44
+
45
+ The datasets used can be accessed Through :
46
+ https://github.com/Sumanathilaka/Swa-Bhasha-Sinhala-Singlish-Dataset
47
+
48
+ - **Developed by:** Deshan sumanathilaka
49
+ - **Model type:** rie Structure
50
+ - **Language(s) (NLP):** Python
51
+ - **License:** IEEE
52
+
53
+ ### Model Sources [optional]
54
+
55
+ <!-- Provide the basic links for the model. -->
56
+
57
+ - **Paper [optional]:**
58
+ 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},
59
+
60
+ - **Demo [optional]:** https://youtu.be/w6kdIDzoov4
61
+
62
+ ## Uses
63
+
64
+ Romanized Sinhala to Sinhala Transliteration
65
+ Suggestion Level
66
+ WSD for Transliteration
67
+
68
+
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Download all the files from the repo.
73
+ You can open suggestion.ipynb file
74
+ Call the function translate with an input String in Romanized Sinhala.
75
+
76
+
77
+ ## Model Card Authors [optional]
78
+
79
+ Deshan Sumanathilaka
80
+
81
+ ## Model Card Contact
82
+
83
+ deshankoshala@gmail.com