Whatlanggo

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whatlanggo is an open-source natural language detection library for Go. It supports 84 languages and identifies both language and script, offering fast and accurate text analysis.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is whatlanggo?

whatlanggo is a natural language detection library specifically designed for Go applications. This open-source tool boasts support for 84 different languages and is entirely written in Go, ensuring no external dependencies. It is engineered for speed and accuracy, capable of recognizing not only the language of a given text but also its script (e.g., Latin, Cyrillic). The algorithm is based on trigram language models, a particular case of n-grams, as detailed in the Cavnar and Trenkle '94 whitepaper. It also provides a confidence score and a reliability metric based on unique trigrams and the difference between top detected languages. Developers can easily integrate it into their Go projects and utilize options for blacklisting or whitelisting specific languages.

Best used for

Ideal for developers who need to accurately identify the language and script of text within their Go applications, filter content based on language, and build multilingual features. Especially valuable for projects requiring high performance and no external dependencies for language detection.

Common actions

detect language

identify script

analyze text

integrate language detection

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Capabilities

Key features

Supports 84 languages
100% written in Go
No external dependencies
Fast language detection
Recognizes language and script
Blacklisting/whitelisting languages

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the underlying algorithm used by whatlanggo for language detection?

whatlanggo's language detection algorithm is based on trigram language models, which are a specific type of n-grams. This approach is inspired by the principles outlined in the 'N-Gram-Based Text Categorization' whitepaper by Cavnar and Trenkle from 1994, ensuring robust and accurate identification.

How does whatlanggo determine the reliability of its language detection?

The reliability of detection in whatlanggo is calculated based on two main factors: the number of unique trigrams present in the text and the difference in confidence between the top two detected languages. These factors are combined using a hyperbolic function to determine if the detection is reliable.

Can I customize whatlanggo to ignore or prioritize certain languages?

Yes, whatlanggo provides options for both blacklisting and whitelisting languages. This allows developers to specify languages that should be excluded from detection or to limit detection to a predefined set of languages, offering greater control over the analysis process.

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Also listed in

This tool also appears in

Customer Support & CX › Multilingual Support Content & Design › Translation & Localization

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