This is a language detection model that accurately identifies the language of a given text using machine learning and the MultinomialNB algorithm. It can detect 17 different languages, achieving an accuracy of 98%, and provides a user-friendly interface through Streamlit.

A simple to use language detection package written in Julia using bigarms, trigrams and quadrigrams. 25 default languages with a built-in option to train new ones.

🗣A fast language detection python package for Ikinyarwanda(Native language of Rwandans)

The project adopts a modular approach to achieve multilingual text summarization. It starts with user-provided input, supporting multiple languages such as English, Hindi, and Bengali. Language detection helps identify the input language for further processing. We utilize pre-trained transformer models, such as BART and T5, for text summarization.

Automatically identifying the language of a given text or document

Datathon, Manipal University (MU), Jaipur

To detect the language of the given text using NLP

This model detects which language is given by the user.

Language Detection API is a service to query the language of a given input text in Smalltalk

Language detection System

Language Detection using NLP

C++17 std::string_view support for cld3

🤖 A worker that uses guesslang's ML model to detect source code languages