Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/vidiptvashist/transliteration

Developed an Encoder Decoder with Attention Model for Transliteration from English (Hinglish) to Hindi
https://github.com/vidiptvashist/transliteration

encoder-decoder natural-language-processing pytorch-implementation transliteration

Last synced: 3 days ago
JSON representation

Developed an Encoder Decoder with Attention Model for Transliteration from English (Hinglish) to Hindi

Host: GitHub
URL: https://github.com/vidiptvashist/transliteration
Owner: vidiptvashist
Created: 2023-05-03T19:04:35.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2023-05-05T07:40:37.000Z (over 1 year ago)
Last Synced: 2024-11-13T23:30:35.735Z (2 months ago)
Topics: encoder-decoder, natural-language-processing, pytorch-implementation, transliteration
Language: Jupyter Notebook
Homepage:
Size: 28.4 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # Transliteration

Transliteration is the process of converting text from one script to another script, while keeping the phonetic meaning of the words intact. In the context of machine learning, transliteration is a task where given a word in one script, the goal is to predict its pronunciation in another script.

| DATASET | LINK |

| ------------- | ------------- |

| FIRE 2013 | [link](http://cse.iitkgp.ac.in/resgrp/cnerg/qa/fire13translit/index.html) |

In this project English is transliterated to Hindi

Example of Transliteration

![Example](https://user-images.githubusercontent.com/86826802/236172512-79982ad7-46c0-48e1-8f26-2d44fffc78dc.png)

## Result

| Model  | Link | Iteration | Loss | Accuracy |

| ------------- | ------------- | ------------- | ------------- |------------- |

| Model 1  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D100_bs%3D64_e%3D256.pt)   | 100 | 0.21607725322246552 | 60.39542043070043 |

| Model 2  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D200_bs%3D64_e%3D256.pt)   | 200 | 0.14442181587219238 | 77.11415632218576 |

| Model 3  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D300_bs%3D64_e%3D256.pt)   | 300 | 0.12240982055664062 | 79.13928839476316 |

| Model 4  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D500_bs%3D64_e%3D256.pt)   | 500 | 0.09494910389184952 | 80.78228581698959 |

| Model 5  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D100_bs%3D128_e%3D256.pt)   | 100 | 0.10732661187648773 | 71.24015788947327 |

| Model 6  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D200_bs%3D128_e%3D256.pt)   | 200 | 0.06515125930309296 | 80.07900605723651 |

| Model 7  | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D500_bs%3D128_e%3D256.pt)   | 500 | 0.04235030710697174 | 82.2286011951464 |

| Model 8 | [Link](https://github.com/vidiptvashist/Transliteration/blob/main/model/model1__lr_0.01_nb%3D1000_bs%3D1923D256.pt)   | 1000| 0.018823904916644096 | 83.17876711915679 |

## Graphs

1 [Iteration 99 Loss 0.21607725322246552](https://user-images.githubusercontent.com/86826802/236028741-112b98d4-f350-49d9-9625-43af0d0c7ada.png) 

2 [Iteration 199 Loss 0.14442181587219238](https://user-images.githubusercontent.com/86826802/236167712-7834ecfb-ce9e-4ca8-a53c-5b88f7819695.png)

3 [Iteration 299 Loss 0.12240982055664062](https://user-images.githubusercontent.com/86826802/236178193-5acc4ce7-c213-4d92-834e-a81cc3092505.png)

4 [Iteration 499 Loss 0.09494910389184952](https://user-images.githubusercontent.com/86826802/236190593-f5dc62cd-683e-42e5-9da9-0eaeae8b5209.png)

5 [Iteration 99 Loss 0.10732661187648773](https://user-images.githubusercontent.com/86826802/236207579-83b6772c-51b6-43fe-8b57-0ac6f1034d56.png)

6 [Iteration 99 Loss 0.06515125930309296](https://user-images.githubusercontent.com/86826802/236248584-856da06c-c188-4ee4-9072-40f518a0f9ce.png)

7 [Iteration 99 Loss 0.04235030710697174](https://user-images.githubusercontent.com/86826802/236305154-2295cb90-d3c7-45f2-bc9e-25684444c2b7.png)

8 [Iteration 99 Loss 0.018823904916644096](https://user-images.githubusercontent.com/86826802/236401572-9db11844-f297-4816-b138-cdfcbdff00a5.png)