https://github.com/andrerab/research-of-the-existing-spell-checking-tools-using-nlp

https://github.com/andrerab/research-of-the-existing-spell-checking-tools-using-nlp

Last synced: 23 days ago
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• Host: GitHub
• URL: https://github.com/andrerab/research-of-the-existing-spell-checking-tools-using-nlp
• Owner: AndreRab
• Created: 2024-11-03T15:33:52.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-03T16:01:49.000Z (2 months ago)
• Last Synced: 2024-11-03T17:17:08.535Z (2 months ago)
• Language: Jupyter Notebook
• Size: 37.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Research of the existing spell checking tools using NLP

![transformers](https://img.shields.io/badge/transformers-4.44.2-red)

![PyTorch](https://img.shields.io/badge/PyTorch-2.4.0-green)

![Torchvision](https://img.shields.io/badge/Pandas-2.2.2-orange)

![NLTK](https://img.shields.io/badge/NLTK-3.7-blue)

![Issues](https://img.shields.io/github/issues/AndreRab/Research-of-the-existing-spell-checking-tools-using-NLP)

### Description

Research Objective

This study aims to evaluate and compare three spell-checking tools, assessing their effectiveness and accuracy in correcting spelling errors. Using a diverse dataset, we analyze the performance of GPT-4, the language_tool_python library, and a fine-tuned T5 model. Through this study, we aim to identify the most effective tool for spell-checking tasks and explore areas for potential improvement.

The complete analysis and findings are documented in this Jupyter [notebook (jetBrains.ipynb)](https://github.com/AndreRab/Research-of-the-existing-spell-checking-tools-using-NLP/blob/main/jetBrains.ipynb).

### How to use this notebook

You have several options for using this notebook:

1. **View on GitHub**

    You can open the notebook directly on GitHub to read the entire research content without making edits or running code.

2. **Open in Google Colab**

    To interact with and edit the notebook, click on the “Open in Colab” button at the top of the notebook in the GitHub repository.

3. **Download and Open in Jupyter Notebook**

    For local editing, download the notebook and open it using Jupyter Notebook. For installation instructions, visit the [Jupyter website](https://jupyter.org/)

### Table of the notebook content

| Section                      | Description                                                         |

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

| Abstract |	A brief overview of the notebook’s purpose and main objectives.|

|Introduction	|Introduction to the problem and the importance of spell-checking accuracy.|

|Data Preparation	|Details on data sources, preprocessing steps, and dataset structure.|

|Metrics	|Explanation of metrics used for evaluation and the rationale behind them.|

|Model Evaluation	|Step-by-step process for evaluating the three different models.|

|Final Model Comparison|	Comparative analysis with suggestions for performance improvement.|

|Conclusion	|Summary of findings and key takeaways from the research.|