This project aims to classify languages in text data using various machine learning algorithms and compare their performance metrics such as precision, accuracy, and time complexity.
Language classification is a fundamental task in natural language processing (NLP), with applications ranging from language detection in web content to language identification in multilingual documents. In this project, we leverage machine learning algorithms to automatically classify languages in text data.