Tesfay-Hagos/multilingual-nlp-processor

A Streamlit-based NLP pipeline supporting English and Tigrinya. Features stopword elimination, lemmatization, frequency analysis, and compound relevance scoring. # 📊 NLP Graphic Tool A modern NLP processing tool for **Tigrinya (ትግርኛ)** and **English** text. **🚀 Live Demo:** weldegebriel-tesfayhagos-nl… --- ## 📖 How to Use 1. **Access the App:** Open the Live Demo or run locally. 2. **Input Text:** - Paste your text directly into the **Text Area**. - Or **Upload** a `.txt` or `.md` file. - You can also load built-in **Tigrinya/English samples** from the sidebar. 3. **Configure Pipeline:** (Optional) Use the sidebar to toggle: - Language Auto-detection - Stopword Elimination (Requirement 2.1) - Lemmatization (Requirement 2.2) 4. **Analyze:** Click **🚀 Analyze Document** to process the text. 5. **Explore Results:** Navigate through the interactive tabs: - **Frequencies:** View term counts (Requirement 2.3). - **Distances:** Analyze term positions relative to document boundaries (Requirement 2.4). - **Compound Relevance:** See weighted importance scores (Requirement 2.5). - **Visualizations:** Interactive charts and pie plots. 6. **Export:** Download your results as **CSV** or **JSON**. --- ## 🖼️ User Interface ### Analysis Overview ### Interactive Insights --- ## 🛠️ Local Setup If you wish to run the tool locally: ```bash # Clone the repository git clone cd nlp_graphic_tool # Install dependencies pip install -r requirements.txt # Run the app streamlit run app.py ``` --- ## 📝 Features & Requirements - ✅ **Stopword Removal (2.1):** Support for English and Tigrinya. - ✅ **Lemmatization (2.2):** Standard English lemmatizer. - ✅ **Frequencies (2.3):** Full term count calculations. - ✅ **Distance Metrics (2.4):** Early/Late position analysis. - ✅ **Compound Relevance (2.5):** 50% Frequency + 50% Earliness. - 🌍 **Dual Language:** Smart detection of Tigrinya and English. - 📊 **Visualizations:** Powered by Plotly. --- *Developed for NLP Research Assignment Option 2.*