Whatlanguage

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whatlanguage is a Ruby library for text language detection. It uses bloom filters for speed and memory efficiency, working well on texts over 10 words in length.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is whatlanguage?

whatlanguage is a Ruby library designed for efficient text language detection. It leverages bloom filters to achieve high speed and memory efficiency, making it suitable for processing larger text blocks like blog posts or comments. The library supports a wide array of languages including Dutch, English, Farsi, French, German, Italian, Pinyin, Swedish, Portuguese, Russian, Arabic, Finnish, Greek, Hebrew, Hungarian, Korean, Norwegian, Polish, and Spanish. While effective for longer texts, it is noted to perform poorly on very short or Twitter-esque content. The project, initially built in 2007, has received minor updates to ensure compatibility with modern Ruby implementations, though the core algorithms remain largely unchanged.

Best used for

Ideal for developers who need to quickly and efficiently detect the language of text within their Ruby applications. Especially valuable for processing longer content like blog posts or user comments, and for projects requiring language identification across a broad range of supported languages.

Common actions

detect language

identify text language

process text

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Capabilities

Key features

Bloom filter for speed
Memory efficient
Detects 20+ languages
Ruby library
Language scoring

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What languages does whatlanguage support out of the box?

whatlanguage supports a comprehensive list of languages including Dutch, English, Farsi, French, German, Italian, Pinyin, Swedish, Portuguese, Russian, Arabic, Finnish, Greek, Hebrew, Hungarian, Korean, Norwegian, Polish, and Spanish. This allows for broad language detection capabilities within Ruby applications.

Is whatlanguage suitable for detecting languages in very short texts?

No, whatlanguage is specifically designed for longer texts, ideally over 10 words in length, such as blog posts or comments. It performs very poorly on short or Twitter-esque text, so it's not recommended for those use cases.

How does whatlanguage achieve its speed and memory efficiency?

whatlanguage utilizes bloom filters to achieve its speed and memory efficiency. This data structure allows for quick probabilistic checks of language characteristics, making the detection process fast and resource-light, particularly beneficial for processing large volumes of text.

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Research & Education › Academic Research Productivity & Business › Document Management Coding & Development › Open Source & Models

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