blengebre/Machine_Translation_amh_to_oromo

# Amharic ↔ Oromo Machine Translation A neural machine translation system for translating **Amharic text into Oromo** using a custom **Transformer encoder-decoder architecture**. The project focuses on building a data-driven translation model for Amharic–Oromo parallel text and evaluating its performance using the **BLEU (Bilingual Evaluation Understudy)** metric. --- ## 📌 Project Overview This project develops a Transformer-based machine translation model for the Amharic and Oromo languages. The system takes an Amharic sentence as input and generates its corresponding Oromo translation. ### Translation Direction **Amharic → Oromo** Example: ```text Amharic: አሁን በእርግጥ መጠጥ እፈልጋለሁ. Oromo Reference: amma dhugaatii baay'een barbaada. Model Prediction: dhuguma amma dhugaatii barbaada. ``` The project includes: * Parallel corpus preparation * Text preprocessing * SentencePiece BPE tokenization * Transformer model development * Model training * Validation using BLEU * Final translation testing * TensorBoard monitoring * Weights & Biases experiment tracking --- ## 🧠 Model Architecture The translation system uses a custom Transformer encoder-decoder architecture. ### Configuration | Parameter | Value | | ---------------------- | --------------------------: | | Model | Transformer Encoder-Decoder | | `d_model` | 128 | | Attention Heads | 4 | | Encoder Layers | 2 | | Decoder Layers | 2 | | Feed-Forward Dimension | 512 | | Vocabulary Size | 8,000 | | Training Epochs | 20 | | Total Parameters | 4,005,696 | | Model Size | ~15.28 MB | The trained model contains approximately **4 million trainable parameters**. The final output layer uses …