Language Detection System
Comprehensive language identification system built on the Europarl Parallel Corpus, implementing and comparing traditional Machine Learning and Deep Learning approaches for automatic language detection across 7 European languages.Get Started
Jump right in and start detecting languages with our trained models.Quick Start
Get up and running with language detection in minutes
Core Concepts
Understand the fundamentals of language detection
Key Features
This system provides a complete ML pipeline for language detection with multiple model implementations.Multi-Language Support
Detects 7 European languages from the Europarl corpus with high accuracy
Traditional ML Models
Naive Bayes, SVM, and Random Forest classifiers with optimized hyperparameters
Deep Learning Models
LSTM and Bidirectional LSTM networks for advanced language detection
TF-IDF Vectorization
Efficient text representation using Term Frequency-Inverse Document Frequency
Explore the Models
Compare different approaches to language detection and choose the best model for your needs.Traditional ML
Naive Bayes, SVM, and Random Forest implementations
Deep Learning
LSTM and Bidirectional LSTM models
Model Comparison
Performance metrics and evaluation results
Documentation
Training Guide
Train your own language detection models
API Reference
Complete pipeline API documentation