Language Detection & Translation Tool (Python)

A simple Python desktop application that detects the language of user-provided text, translates it into English, and applies basic spelling correction using TextBlob. The application uses a Tkinter GUI for user input and output.

📌 Features

Detects the source language automatically

Translates text to English

Performs spelling correction on translated text

Simple GUI input dialog and output popup

Uses Natural Language Processing (NLP) via TextBlob

🛠 Technologies & Libraries

Python

TextBlob

NLTK

Tkinter

Pandas (imported, optional/future use)

it’s a GUI-based language detection, translation, and correction tool built on top of TextBlob + Tkinter.

🌍 Language Detection & Translation Tool (TextBlob + Tkinter)

This project is a simple desktop application that detects the language of user-entered text, translates it into English, performs basic spelling correction, and displays the result using a graphical interface.

It leverages TextBlob for NLP tasks and Tkinter for user interaction.

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Features

*Automatic Language Detection *Translation to English *Spelling & Grammar Correction *Simple GUI input dialog ***Built using lightweight Python libraries

Technologies Used

• Python 3
• TextBlob
• NLTK
• Tkinter
• Pandas (imported, optional for future enhancements)

Project Structure

├── main.py # Main application script ├── README.md # Project documentation |__ country.csv # Language Code file

How It Works

1. A Tkinter dialog prompts the user to enter text.

2. The application:

   • Detects the language of the input text
   • Translates it to English
   • Applies spelling correction

3. The corrected English output is shown in a message box and printed in the console.

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Example Workflow

Input (any language):

Hola, cómo estas?

Detected Language Code:

es

Output (English, corrected):

Hello, how are you?

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Code Overview

Key Components

• TextBlob.detect_language() Detects the source language.

• TextBlob.translate() Translates text into English.

• TextBlob.correct() Applies spelling correction.

• tkinter.simpledialog.askstring() Collects user input via GUI.

• tkinter.messagebox.showinfo() Displays translated output.

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📦 Installation

1️ Clone the Repository

git clone https://github.com/your-username/your-repo-name.git
cd your-repo-name

2️ Install Dependencies

pip install textblob nltk pandas

3️ Download NLTK Corpora

import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')

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Run the Application

python main.py

A dialog box will appear asking for text input.

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Notes & Limitations

• Requires an internet connection for language detection and translation.
• TextBlob’s translation relies on Google Translate (unofficial API).
• Some unused classifier imports are commented out — these suggest planned ML extensions.

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Future Improvements

• Add language selection dropdown
• Show detected language name instead of code
• Add batch file translation
• Integrate ML classifiers (Naive Bayes, Random Forest, etc.)
• Improve GUI layout

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Author

Md Ruhul Kibria Maruf Md ruhul Kibria Maruf GitHub:https://github.com/Rkmaruf