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Fasttext Language Identification

Developed by facebook
fastText is an open-source, lightweight library for text classification and word representation learning. This model is specifically designed for language identification, supporting detection of 217 languages.
Downloads 533.60k
Release Time : 3/6/2023

Model Overview

A language identification model based on the fastText framework, capable of predicting the language type of input text with support for multiple language detection.

Model Features

Multilingual support
Capable of identifying 217 different languages, covering a wide range of language types.
Efficient and lightweight
The model has a small size and can run quickly on standard hardware, making it suitable for production environment deployment.
Subword information processing
Utilizes character n-gram features to handle rare words and languages with rich morphological variations.

Model Capabilities

Text language identification
Multilingual text classification
Word vector representation learning

Use Cases

Content moderation
Multilingual content classification
Automatically identifies the language type of user-generated content
Accuracy can reach over 90%
Localization services
Language routing
Automatically routes user input to the corresponding language service based on the detected language
Improves user experience
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