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Lingua

This Go library provides robust language detection, accurately identifying the language of both short and long texts. It's designed to overcome common limitations of other solutions, offering offline functionality without external APIs.

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Questions & Answers

What is Lingua-go?
Lingua-go is a Go library for language detection, capable of identifying the language of a given text. It employs a combination of rule-based and statistical methods without relying on external APIs or dictionaries.
Who is Lingua-go designed for?
It is suitable for developers and applications requiring language preprocessing for linguistic data in NLP tasks like text classification and spell checking. It's particularly useful for those who need a lightweight, offline solution without a full machine learning framework.
How does Lingua-go compare to other language detection libraries like Whatlanggo?
Lingua-go aims to improve upon libraries like Whatlanggo by offering higher accuracy for very short text snippets and maintaining detection quality even when many languages are considered. It provides reliable results for both long and short texts.
When should I choose Lingua-go for language detection?
Use Lingua-go when you need highly accurate language detection for varying text lengths, including single words and short phrases, and require an entirely offline solution. It's ideal for scenarios where a small, flexible library is preferred over large NLP frameworks.
How many languages does Lingua-go support and what is its underlying mechanism?
Lingua-go supports 75 languages. It uses both rule-based and statistical methods for detection, and notably, it does not use any dictionaries of words nor does it require a connection to external APIs or services, functioning completely offline once downloaded.